{
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oWkHkT+yXklGfL5ZdiULZsaV1OA1Uzz/GzVKjLVnGdTKSUzi2k5KDbqqMmlCaJ2PAN+rDKAfe+Ni7tzrTvaeMMwYFDAoYFDAoMK8pIBO/AhtcNkb9ACcGIEcWmHiAmnn9LB6AxqvR5huFj8AjmWMixQ9wogmsZawpUMM6tHE3M2EJbgIxU+yR9/TNCWzH9LmMK/OZApGOr6nGSCRlTlXefKav0fbEp4CMV33c6d8xbDWr02DOKGvVdtPjC0449WuQyb9l9jc8nHLC6XPgux6vOsNpZ6K2LT7t8nk18KG4OOTkCBdnfMyFTk/FoRHg5OfWaCXM3pdJnJvZbwi9acYdBgV0CsRifMWiTL29xrdBgWhTQB+v+ne0y5+mPAE5XBy4yqgMmshqmrwznBZGjR/ezJArVpek7XGmW8hdSdT2xbddowQjXp8XviRycsjF0YBOaM9PgZoxbk3oo24SuAn5SRo3GBQwKGBQwKDAfKEAFwvF0lcgJ/gdtVpa5N457KfUHd8leg47G9Wq545qMta8Hi9GkwmsUzjeRNcsCPGogCPh1IiYK9wxZ4CbqA4iozCDAgYFDAokPgUUwNE5OVQEVZycKZstYGguuTVTNso4GRIF5hoWii6OjCNycZJHycmZXlQl41IBGvmWgRdBMsBNBMQzbjUoYFDAoMD8pYAsOFxAfNzZczet7agDd/mRLzDzlzb3W8vnGuCIWBTweimqUiCHVlWij8OP8ONkHAr4ERAUKajRn5wBbnRKGN8GBQwKGBR4ECmgFhYuLjrAEbEBFyKeeRCpEWGfE5FmgYA1wu5F4fYxfRzh4vCTRM6hDDVNYTgKFfiLMMBN9GhplGRQwKCAQYH5SwE/yOFqM3/7YLR8CgoI4Eq8Zyr+arwcc0l+zuEUDY/oVOL1OKLuGDcbFDAoYFDAoMB9SYFEZIrMC0InFudmAskIbmLFIDTAzQRKGz8MChgUMChgUCAhKZDAa3RC0usBb5QBbh7wAWB036CAQYE5oEA8uRBKzHQ/IwNRhpal7H7u4xyM0XlepQlJ8XzL5jm1jObfZxQwJsP77IHOn+7I0Iv58PNXMupV1lCa3kUQsZli3q4wH1PgUjXWRgE1EmvIS4CT4idqYMYw67qvbhN6kGBjNLuvOjdtZ0y6S+651o3X6P6AUX/ax3I/XojM9mLq8RFZmfcjlY0+zQ8KxHam0zgZowJqRkdgsedy8XfDPdxNXWEbCcTa5do8SxN8v/k5NaO+YZjMqTBZnBgZ7mC3CHKSLcqsOGbKHPOMbmLmrzExYjvqwidLbMAowY3e4fGj8Btp3GlQYDoKxGJ8xaLM6dpvnDcoEG0K6HNv9MrVuBfkZXgHYE8rQU7JLqRlL4LP40J321V0NR2F29VHR2pprJSeY8WR36QU/VZNqiCCnzQeJngxEcS4+D2KrKIdyC7aBJPViaHeRnQ2HUdfxxUksX+ycVcAL1Yaq1P0IyFpp7AD58oJ6HCKxs/ZKX0ejy71kgoWrosNbJozQhkVGxQwKGBQILEpIM7LorvYcGEgN0MW/RRTChf9nVz0txDgFMIz0q+upZgsGOytQ3vDcfS0nOWSLzF/zPdwOaLbrmg+BwEr4uitH2mZyxRwy8hbyb4lkWvTA4s1k67+B9HVcgGdDYfhGmwnSey8zjZMAeKi2TK9rOguz3qpEX5Lo0gjHUJEWFoMbmfLxNdNlJMBbqJMUKM4gwIGBQwKzEYB8c4qC050EstSejWjSMtaitySHeTWLOZC70JX8zm01x1CCsU2+QseRkbeKq7zXvSQi9PZeAwDPbfZDCvVcaQMjYuTeOBGo9MoRWtmSwayi4Vbs4HcmnQMdNeitfYQBnuqkZm/BXkL9sDqyOXvOnQ0nkRP61l6xfVw8aRLNzE7jjEXJ1pPNDrjwl+KjDMFbqJaahQLM8BNFIlpFGVQwKCAQYG5o0Dk4IYLAhcsukDjeu2GxZZFbs02ZBWsg5mLfm/HdbTVvI+h/kZ2khwP+UvjkdSsxQQ5+5DqLMPwUDvFOGfQ3XIGXvcgPRTTvkTlTBBm/pgFlBcpKWYCtuXILtxCrk0lRlzdBG0fkUvDtgt4ESd1jEBtJojLKdnDfOtJn2T0tF9HR8NR0qGePSO3THqoQFxs+miAm3DeKQPchEM14x6DAgYFDAokHAUiAzfaTly4EMLNT89dS47FQ7Cl5lPvpB6dzWfR235JcW5kQVccGcUlkqXXC4slHRn565FVuAHW1AJNVFX7AXo7L3Phl6jNck/suRzTPxStf9LaUSpE21KLkFf2MPu5nH0aUrpDAsiG+5tIAbGQYlulvQoMCdzzwZm1jGBvE5w5y+AdGSSX6iQ6qG/kcbvG8ml9nL4V4VyRNidcMjg3CfdIjAYZFDAoYFDgvqRA+OBGWz59viGkplcgv/wRApXVivMiIqiO+qMYHmikQi2tou4BKRpo0K2oHM5K5JTuJLdnNWmcTA7ORbTWHKSuSjNvpahKpdhwOPyFT/Gl9U9AjcVKEVTJbuQUb4HJZCf4qlb6Qr1tZ9k369SiJtVnDRSlmGwUX23n/VsV8Bvsq0fz3YPobT1DACe6OFJXdPuntX6Kbs3lKQPczCX1jboNChgUMCjw4FAgZHDDRVsTqXiQYrZTr2aPWvRlAR/oqUFb/RFya86TgJapF/0JpNVEWl7vMNd3H8HNVopytsORXkbl4wGKcY5RV+ekOlZm1Yozcq9V1YQiI/4hbaL4zEcRU0oSMnLXkRu1l6AkD66BDnKjztDS6zjFUbT0ItAZ49ZMV68f2Pm8fezXIuSW7maZK0gbM/WNrqCt7n2CwCbebWa9IqqKnml8wgEcA9xMN0qM8wYFDAoYFDAoEE0KBA1uuDAlJdGiSYAITZ8z8jeRG7GZVlDFNOnuVYu+WAZ5PW4u+qlcpD1c94MDIkr8RD0bn2eAejppBEu7kVlInR36jRmkrk4X9XF62s75JT7k5BAATGU6Hhld2D8x7SaowaiLCtHUq6HuUFrWQgU4ettvULfmMIYGati/LNW34IGIXrab9w0hM28zOVW7YEsrUD5/ulsvUen4CEVVQzSNJ2Ai3YIvO7Jex/NuAW+JpyQeSAF5TtGHhIa1VCCNjWODAgYFDArEgQLBmIIL+PAxcjIwjNSMJQQf26h3skK1rqv5AkU0H2JkqJMLl4Xn6NAyTO6D7htHREFWRz71W/bS8mgNixxFDxWTOxuPK2ukUXI5kgWIBAmeZiWjn7syShGbxVGAHPqsyaIisCgF93XeJDfqQ1pD3WbPqAdEsZkAt1GlCzRryRMzsB7p46jPTTN5K+vYQs7Xdjo3zEI/uV4ddceogH2BvoF85BoJiBOaR1dcNbFBcf5FcJMs3JuETQa4SdhHYzTMoIBBAYMCoVBgZs6NthCN+lzK8kmsoGQxttqzqXdyC22173MxvsLqRPlXFGolRboY+xc/AiTZRadnr1BiobTsSurgdJCLcxadLScxonzHiJdjSeHWOd6/FIqYMvI3UCy2TYnFXINtmhVU8ymCDXJcyFnSklZXWODGXwILU20WkCQODsVqLKtoo1JS7hR9pbojFFU1sP+ib6TlHbt1Hh8QOsSEMxI1ksSIs5RUULF+fISGg4qj1cOERpbR6uQDXk4k40vNh9qkOIGKkZQ5oSDjh0GBOFGAw1hxbtQCGlCnmgNpqUTQIFx6ZfpMR3xpWZW0+OknJ+Oocr7npqM6UQBWKdrjXxYa1S4fwxpYlRgst3SHMjUX3Z6OxhP0AHyNHCXRUfFbYgUNclTHeZ9m0ZSaUUkuyiZlBSWBVLpo5dVB3aERVyezTBUnSrhTWrfD/qtoLPOIjzROJo2XKRDncJZQt6eNFlX0jdN2QYmqBDxKvsgrDbu1UblRuqyZykeluOgXwsGujbnoFj0R3ES3bKM0gwIGBQwKGBSYQAFZnTmV3+OhmOdETAOPAhJ5pfuU/ouPopSe1svknJzC4EA9F1r6omE+TQSllTWh+Ih/CPDwi3FkYWd77KmlbMtGiqpWUzfFSq4R9WDIPRKF3FHqAykxzqyoQ/osYMHLOFAOpRCdVbBRMUj6aAXVRYXhwZ47jIFF0RBBxeiUoELADfss2ET7IwdhJY2GvFWssmzZyGRbJIyDWGj1dVVT4fhD9HdXsc121ikAR2gxP5OQS2G6CGkWs94b4CZmpDUKNihgUMCgQFwpMC6Wkm21WAlRH4RWQjnFtIKiCMpsy1Q+a9ppudTTdl5jHogISoGISNkXM3dVYQe1EErb+BFRFa2qnDmr2bad1P9ZQM7GgOK0tNPqyENPyMmi9Dxl28bLQJKbzvV2qf6JT57hgRbq85xiOafoiI+xosRTskrTAAmWP0pHhJECG38lWjmqfyyTIMdB0/q8sj30kbNIARpROG6ld+eR4S4+Iori5qkujsa50Z7qeN8T6MgANwn0MIymGBQwKGBQIAIKJJOLIZwM4cAkkTsiVkLis8bhLFWxoDpbz1MH5H2KaHrJLXGwJlnUYwtq9O7cKyLQAIqPFltmi13FrcoiJ0fCHAz3t5CL8wE9AV+kqIriNIlV5W+rpgQs4is3AdFi5C18hN6FK5SIrbv1Ck3OGf9pqMMPaoLon2AQBW70lkbxWykcjygQl11A3zgEmHZnkYpPJWb23S0CwCjKUv0TTk58nkU0eqispaJRUKzKMMBNrChrlGtQwKCAQYH4UUCUgEUsNeobVibdwg3JyF1JSx0z9Vmq0F5/mCKRG7TsoekzxTPhWkGF26N7wY1WklJeJhvA5+2HzVGM3LJ9bPdydbGv6xaDVR6nz52bZKxoCrliBWVPK2UsqO1Kr0aUh0Vvp73+I3/k7lQCO80KKqi2xhLcsAFKLMhnIw4SrQxnkUMHgmI1lpxsYbtrVRiHvq5rzElfQgKGlHVaAMiRwwRkkBjgJqjRZWQyKGBQwKCAQYGwKCA6NbJAi56HPZ1+V9YrnzU2Rx5jHzXTtFtMki8pDojSO5m8eIZVaeg3TQdutJKEiyMOBUU3xwtH5hI6yNuF1MyFiuPU3XKezgQv03cOfdYwFpTEurKlFWGYVlDiPbmXyrpecnimBAezNTXG4GasegGfwn+itVpqpjgApKhKApEy/lZn83nqQJ2jSK2ZdND1n/xitAQFNyS2rn4+1sWEOogV56Yw0FoqoXpsNMagQGwpIHORkQwKxJ4Csp0XL7j0vstDZzYjdzPsgUTo9tAKSiyQOvlxu3qIG6bTXYl9K/UaZgY3AbmEi+MbodM/Jzkc6+kgbwfN1XMIZFqUGbc9vQQeVz+VoU8rZ4MjDNQJUUD2i630koL+VuBBE3oFfU/YGbVnJvpGKWYLOVSM31W2m0CtkLG46glETyiQ4/OOKJCjqhFRldyWYOmB5dwY4CbBRqLRHIMCBgXuIwoQKigRhha5W0Q0OcWbkUKLoT5GrG6jCGqo9y6thLR8mtLq3HY/OHDjb6PiRmlcHLM1h7GgdtKyai2Vo2lV1X5NiaCG++oI7LjqU8cokv4pNZdY6dxMR3J//8RqzGrPo4iNkddpvp5MZ4DKwzFFbMMq8rpwezQAm3CbJkHUTAmIu7R2kXMTi9YlGeBG0df4Y1DAoIBBgahSQMIKcFUnN8bHnf966qhorv+H+pqUaXdvx2U6kJP4Tn4l3AQxNw4J3AjFuHiK4MNHMY4o3DqcZUp/aJiBKt20qkpWTvHIcYm0f0QNgQrFYzq9sjb6EYV/HY/qc9T6Jzo25LxxIRb/PAJynNlLlKiqu+UcBjrPU+F4mJZjo+TGDZMW0YtVFXFnDHATMQmNAgwKGBQwKPCAU4ALPXf7IjzxujtoVrwa+RWPKvNiz8ggutuvoIu6NSPDdFRHjo4snJFwM2JB7JDBjd4I1RfBcxInSkAdRVBR7p/QNZkAwyR+gviteyzW2+xjvWLVJN9RT6ov8ry89BydqgBOdtF6Kh9n06qtS0Ub76PZ/ojbTZDjo7n8CNs3jVl71Bs3Q4HSbibt7wz55uiSFlcq+q1LKqwM9FA8R72TaqPftznsjFH1lBSIdL6ZPEYiLW/KRhonDQqERwElfuKtEuTSbM9EXuleFStJWQl116CVju/6Oq9wvbdxgaZy8eTxHF61Ub9LBwrhF6x3LLovqOiOmOgLaJjgofluD/0BDrGJNJNPJYgacPF4GMhIR2mBEymkr4cgRwc/4ffl3jtTUkz03myGiYw5h7MYGQU7qDzNiOMEtQNdN+hF+iQGeu+Qa0Ujf49HBTXlqLi3oHidMcBNvCht1GNQwKCAQYH7iQKymItJMyNz03Q7o3Ar9Wq2IjW9FC46gOuoP658uig/MNRFEfNubb3RQUBi0UKBm0RqGnGB7O75H239LlQUF2DHpjWorFgAu91OWpKDwwCj3T09uH7zFj46fRlDQ4Nw2sy0zBKAEx36ShtMJjMsFgvBDc3BUzQdIqnfkb6EIGcrff8UUCzVi/7Oq7QMo1XVYBfcHi+5eG4qWTPwZ3SaElopOrhJpGca0AOhn0L6UW7fRM5NQIXGoUEBgwIGBQwKzEQBzsYyMVP0IAuf5tPFH7mbK2pP22UGuTyoRe5OsWkiCiWmIHxg/sg5JDO1Lfxr2mIT/v3RvlMiWgu9bI5U7NqyDls2rUdhQQEBhgnDw9RzcTNkhdVC0GHG8JALdQ0NOHL8NE5fuEo9YLcSU0UCKoQeKWTTCKAxk2OTkiJcN30lljFAERlFVckmGzk462kFt54hJpxUFK9RAGeQXBwXrcbcI+TiEOD4vHHWx5G2yn+9ydF+QBGWp96DGDSO4GZDwHMPOIywwaHfnqCUD70jxh3TUiCS8TXd+IikzGkbalwwKDAzBcSKhivGqJhCW9MoftpGU+FdPHZyQbuO9sbj6KeIYtQnqwqzTtC9EC5EAoulYrDQzEzM6a8qIMFXPCM7C5957gls3rgObW3tOHf+Eu7W1qOlrYP4xQ2bzYriogIsrlyIDevXKA7LgUOH8cobBym+GlG+g8IRUaWQO2Mmp0Y+yTyeHvhp85Nct9jy4aQCuZOiKkl9VBzvaTtDb8dtFFW5NZBD0BU/fRy2LRCPTU/uObjih/gxGHOTwM0c9M2o0qCAQQGDAvOJAqIIzJ26zMfOnJXIX/AQLWjKKYJop/jphIqV5KHDN6VQq2Qi9wJw4UYk6lZ6+gU8vg9J2iGQwe504itf+gzWrV6BM2cv4Ge/eBcnrt2hdM+HNHMy9WuS4PaOYpBKvGZycB7bshrPPf04yheU4p0DH+L7P34daRbqvzBPsABHdKJEr8ZisZJro3mUnr330lpJ4qQwmaKqpRRVbWb7y5QPI9HF6eu8BPdwP5WOPUrh2EudnJgnNdZkuOnti3mNIVWgWhWDtqWkZRX9cUgtMTIbFDAoYFDgAaSALFjyAbk1trQCFFU+iaKKx7gIpqKj6Qyab73JHfpZ5bNGTKI1ZY97gY2QTsQsGksn8QiZKIugzWLC3c4hfPkzT2Lvnp04evwU/uLvf4Dujk4UZTqQ6bDCbjXDRnFUGvVrslKtcFpTcKGqFtW37mDF0gqsW7MKPZ2dPFeDdIdFiahmorg8F5PJQp82NlpB2ZQ4KnR6CFfPR0DTiiH6+JEgozZHIUVWK1luIb03D5CR10NOEPV26PtHmY1HSzFoqs4pcEOgmJjYRgHYWDTOADdTDQbjnEEBgwIGBfwUUKCGPmskcGSyKZnip0dQWLmfO/MSxhyqQ8udA0ph2K2CXDJ6tEozmwBrC2ZirjahL+b+Lkfxy0S9lgGXG7s2rsYT+x9BJwHKt/7uRdgZWdxKXRuXm0q65NyIkrZ8JKSD+k0smZVqQ1tXL3p6erGW3J7c3GxUV93BwOAgxYEUJU7VTp4XTo2V4i2r1aZ0azQAOlXm2c7pNRC4cMyM9NdiZLCZQMZEUFysgqSabbkYdXcR/w4SQNkUaBYxVbCcpdlaMOG6AjcG52YCTYwfBgUMChgUeHApILtdWaBEP2KAiqIbULLkecaD2kCplJvehY+i6dYrGOxrYD7aBcsiMkG3ZnrKKQ7Q9Jfn9Mpcgxup30JRUH1tD77wuSexZHElXn39LVRV31a7fDHxnikJyHHaLbhc04yKwlwCnJVobWvF0TM3kOW03uMDR/RqrNSpsdDyykyl4WSlMDxTDcFeE5DDMSFm6SPdVDC+pcJtWOz5cGQthj29gpfM8LkZloIekIWTI8kX5BhSmYP5o8DNg8e54RtpJIMCBgUMChgUuJcCEjvJpQI/5pbtYaDLVUoE1dN2Bc133qLIoZ67cTsXKCvBT5wtYO5t7H1zRtZiccRnzkujVVS+soj64OR5Ou7jeQKX4BL94XT14/KV69izazvKy0p4M+8MYJZJZHZNr4am3bSGkt/RTwQ4SuQkHpx91Lm5QJBzk7o4u5GevwE5ZQ8T5JSjm/o4w/01tMSibpA7BSMjVIKOt1VV9Ds/pyUa4GZOyW9UblDAoEBiUYCrn6yuTCbGD0rP2YSckm1cgIq5KDWi/vpLjCl0kuKpTPo5sauFK35WL4lFqVi1RtSIh6lwu6o0T+mkNDa1oK27H7mO4Jcr4X5YHGZ0dHWjkx+nMw15hekKHAmIESVh4dIoK6iYgJrJ1NFEVUlJFiVG62o8iMGua8go2snI44shYqr+jisY6L6iXAekUO9nZMSl+cdJpFAOk7uVwL+DHy1hdMI95iFSJgtdDhlGQcYtU1JA2Leil6j8QGjzsZZPNgs8EvktRdHqO1GoL7J0ZSkyZY+MkwYF5pICfIn4TonPEkfGQuSXP6LiB7ld3RQ/vUvPs2dpxttP8UEmpU+RWrnIGxn40s5lvxOvbi8tm+x2q6LQwNAQraHoSyiEZgqzxEJWj4RCGB4eUh6hHbSk8tEEW0RQwrGZ2bQ7hMpCyip6NcJ9SqGDx3a0176Fwe5FcNI3TlYxgU7WUnQ3H8Ngz02lzOxxuxjagSCHVlWaznGizOQhdXpOMpsEJUuSmB3RSlKSLGALCrOVG2xtqZ2t9FCG7mxl3d/XhVJCY1GiGx7xYsjloRdMTblOHqfQXkCEmS+3w2riDoWAwk+S6D3lUGks5pFJ6O4dQHf/kIoNE2pb9LGq1xzNMauXaXw/wBTgu2M2O6gw/BDjBm1RCqC97VcZ2foY+rjLBnfdSlcmCiIoGfvGjDf9WONUoTgcYpJtMVPvafqs016RjZ2aC+lVWMIxiPVTko/HEjdBKpjTpCkPez1D9INzHq6BevrG2UiLqlXIr3yWYRxuoocgZ3iwSQM5I264yMnxxcN0fE7pEr3Kxzg3kxeOcKsQboEW18OLcycOhVuMcV+IFMjOdtDHg2apMTjYT0uBkRBLiFd2JyqWr8DgMF3VK3PY8OuNdMwa4Ch82t9fd3Kh42JnsWWgbNmnFLemn7GgOptOURfiNHUgxErKQTAiflLCWWbvpdZcL633tihxzgjwsxLQNLV3E+B4kZOdg1Sae8v5YJPMLYODbqRTHJWVlYm6xia4qHPjtGlioWDLiW0+6ZGMPTO5OHRG2HCAelx3kZ63iaKqpQzlkE/OzgFa5F0lMLMrUZqbujhuBuT0zaJUHdt2z4/Sx8BNtJorHiWHyUnIcNrxO3/xLTgcDjVA1UOMViUPYDli7ij8GtnFmGkKKZPxELk2NY3dqLrbiduNjGcySFY535WiVAsKsu0oYQC5xQuykZvJ+Cu8V5T0XHQBLhFzZUcTT6sIAb3iHv3EyTP43j++gYXLimjOGSlrP7KBECk4iqx24+5EoYBwY3yMZC3hE1IzFnAxqcXdS9+ln5IBii4c1L1xjIGaqI2Z0fi+f6HTeu7gl4hfrOSu3KrpUPoyxcVF2L52KW7cpLVUEhFKEChHNthpWU6sWL6U3otttJbqVI7zkmx0wJhQSZvXlVUe5+TB3moM91Yhu/QJiql20AFgOZWQT1GMZtNEafSLk0KRmoecHPHMLDG1gkvknMvikJBJa1m020cV8YDeBjFoAnJPPGQ5o1yALSR8Q0svFpYV4td//dfgoHmdkaJHAXlE9S39uHitCVW32+Ex98KTRqdQOYxEnE65NJ9DEh1Z+Zx8AeiIym1Ogz0/BxtXF2NRWQ53RNFrSzgl5ebmEtz8HXdUlfRF0acVEcy4CxyngRUHc29gfuPYoMAkCqghRI5MCuM/iU5NX2eVUuo0W/O4Q3YFs5ZOKnH2n/HcWMzemsk5pnvZJueLzW9dV9DqNOHqtSqsXLEMH390Lw6drUJlFuNHcVMnlkdTJk6AVm6i+DCxdkkptm3ZhK7uHlTdqSXXxuTXW5nyzjk+yVFIVCcKxx5PrwI5GXnrOJlzI8uxqU9zYqZuocm4iZHJ3VSKFpCj6eMIPaZ5bnLzNJfmuNNj1Ucb2EjBEzk3kRJAv58sQWH5u0l4aoWpgZjYL/MYjRPqQF5yTXRDRE8xzqkL9XjtYBW+9XY9cGsYGOYupsKEHHsyuqiA5xuRF8TfBT5ZBzWqBtuZp4PnFljw+X35eGZvBfZur0QxzSwlySQRj2cj9Yg/CY9fZix9G0v6uBk7EcJBJPcGNCGEGo2s9yEFxidXDgrZIVDLI2SlYd42Xo4QyS/4nDzOmE+uTMx7HxI1gi65aQZdTC/Ebx85g43rV2P9utX4pSd24l9efx/lWZrTO42bPU5LWfitViohyzyTbMHT+/ehuLgQb7/3PqprGql/aFYRuiNoVhxuFZDCj4T4CEgyIgOHkeprMrk51Cfy+EVVXjEdD8yk3y83P4BpIriJNgH8RJXFMx4LaLSbP5flyYsrynTELDh9qQE/ePUSvv0vd+nryYvyxVZYVltQ1cPBfGwEHRXcqSy3Y3u2VSkOdxL0XG93YfCDAYJL9mKzFYX0D/XDQ4344V/WYu+/u46vfmYV9u9eivRUyrIV0JBnFLse688/lnWE3PoY9jfkthg3zB0FZByMfXjAd45bBe1cEK2SMS2BMOVb85orCxSZB3x/5SNiYH0h1ouT6hJ2N61bH+iNnYNvWaOFbqPUd3r9rQMoKMjD8889SY5FCl597yOY6bTGTDAjdJR5UiyfxLR7lKAgNT0dn9i/l1ybDbhRdQuHjpyGJUnzYjwHXQm9SpmP5aMGyQy387qYtCeT45hCVYURxcVxc6xNA3JmKGpOL83WzzAbF1twE2ajHvTbNGBDy6J+F77/03P4rW9dBIbc2LDKgb4RH12Ju4A0E764vwhP/H45yksykZVhpwiQ3jXJNRPdmv4BFzq7B3Gdoqsfv3cHB490MrRuElY+nYoPLnXig5++j6/8Zg2+9uWtWF6Zq14m9T4lFPp40EeC0f9Ep4C8LmbhFHAz0kYFVjN30g5yD2Rx6h4cgYnhArIZ0yglmZxsWjSOJeM9GyPFdAducnslZtTVqrv415++juef/Tiee+bjWFRRjncOHcHVOw1qvrPRxFs4NmmpDixfVI7H9u1ERXkZrhPYvPTzd9DXT/N9PqfJAHO6eufbedk4CgdHAJ7XY9b840jUcaWnOd96E732xhTcxAiQRa/3CViSLoq629iDP/6bj/D9v7yNyn12Bolz4OzZQWChHf/j99fj0Z2VqCjLQkYaJ9Jp0ohnFEsXFWDPtsW4eacNr757E9871oxFuYx2m2/Bd39yB9890463/2g39rM8eV4awJmmQOO0QQGDAhMoIJyZ9v4RLCkvxmcf2opFlQvhTEtTC2k3dT2uXLuBXxwSk94BWvyYyHgNADgTSjJ+TKaAzEfi38ZOVxbHz12iwcQgnnhsL1YznIKIqUSXpre3T7nEsDEmVDatorKyslC5sExxbH782ttobmomsOSG735f6Eks4R4mi9sPcrS8burkUOHYQ5AzpahqMrHn+Ldw6qKdYgpuot3Y+708nWNz824HvvyN93D0YBvWP+FEY58bt08N4bd/fSm+/PxarFpaMO63hmhEkLu8uy3t/ai+246LN1rQ0NSLhtZBWkf5UJprRW5OKgqL0vHUOg8+vN5Jfw8+LF5sR3X3EB7/5Xfw0+/sxaceW6FY6wbAud9HmtG/SCmgdstcNDuGPfj00w/jYw8/BGe6UwVrHOQiLIyZvPxcPE2ws3XLRvzizffwwYlzSLOQy8MFO2HfMcVRElghH0n6sqN/a2fj+VcHOFevV+Hq7Xo888hObCC4ycjIQHZOttZEtntoeBg1Fy+ht69XiapyMpxoaGwGmWYPTuJjE91GJRKlxZmbIMcjpuOc7xM5xeIRGeAmQZ64DmzuNHTjV795AEePtmPjNifONlFx2JOCn353L556dAVsROaS9PwyyV6j6OndD6vw0vs1+PBUD9BGE+sBDuZS5jVztDdRBtvJzxY71pQ7kMoyBjgp1w/5UEKLhGSbDy984RBe/7EJT+9dwtINdUdFZOOPQYFpKCDcgGG+Yl/8xH7sf2wfhuhF9+Chwzhz/jJOVtcjg1yatUsWYOvmddi0YR1e+OTTahNy9NQ5mjlTfJBgnAQxRRZAMzoqQULpDVcFYpIzKWy3mQ4NxcyS80IUHBhOQ9IZTwu9RPxkp8XTy+8cwf9+/SNsWlKMorwspYczQrcS9S0duHiiBp/67E588YVnsW/XNtypb8JAH8VSfF4TjBhmrO0+uMh1QZwVKn0kcnQklIPSxbkPuhZsF2IMbnT0H2xzHsx8uiiqs3cYf/RXH+GDA63YsIXApm4I1lwHDvzpw9i1oUwRR7dukpe1urYTP3vnOn73pSoqFvcCK8woKTUhnQrGSbw+wglB5lBzheaps33Ii0stQ3AS8AgoEoFWJy2s8mg6XrR6FM/84WGc/I4DW9aUKGU+yRP9FIsyo99Ko0SDAtNRQN69YSr2r1m+BB//2CPU6ejDd/7hBzh27gaK6V+q1E6TY4KDi1du4L33zuG553bhC5/9JJ55ar8ySe7s6ODOmu4ahH0z54nvo/j58Q0TyPhgTS2BlVGrUyypiiPidQ9ghGECXENNSllalFeJEtjq+LddlLVH3LSiynJgIc293UMDuHW7V7VE5ioblWq3bi/DzVs1qL5zF2tWrsDGVcvwLhWK0wkoxQLrQUwSS0uLQv9g9T824Ma/fumsMH1BfhAH1mx9lnlCKQFzF/jPL5/HD/7nHax7Ig3nWsmxcVhxiMBmhwI2GlARJK6nA0fv4He/chQVH8tA8u5UuKhj4yKaqeeWUkCNDiP0aUiYPllWzQJLypDzFmZqc5GDwwkZ3S787reO4Ad//qQyFfdwMhBnf9FIMgak7dHy8BqNNhllGBQIlQLyNsjHS27G4489RAdxVvzk5ddw7MNLWLo8T7lsGKKjTEniZXfxokz87EcfYuGCUjz26D48smcb/uFHP0eOg5wS/cVUuefij3Az5B33MabRMmTkrmZMrVI6i0tToSekn7Lb93j6GeuoHhKKYqCn2t9suRr/Dni9HgwMDjHkzIhyZioiGG3hBkYION3y4bx17OQ5VJaXY9vm9fQJVk1xYY8KSRN8VPG5eB5RrJMLi3D3Zb6VzbP8S+wU/fZFH9yoN1/TA5EXX5IMQCPNTAHxYfNbf3oBix92oIccFnQDb/7NHgVsNHaqFiRTSpHfslN5at8SrP/sdZxvGkAJBcu9BDdCfvmkyJ9JSQDP5CSnRHJVRxHVyhIrPvheC36y7zL+0y9vV+zeyfnD/a2DMjHXlBQbrlC4rTPuMygQHAWEIypevpcuKkX5ggWoqr6NI6cvYkFFpgI2gYunh34cZJznl6fhNBVi161djRXLlqIgKx0uKhjLtSleyeAaEnEuvvT8L7G0ckp2I7toM0wWJ4YHWghg7tA7M8XbbJyZISlsqYXqekbeGnQ1n0FH40fU46DjUHpZnguAIwu2V2LpEcSI6MXEj8ad0Ogp1msXb9zBqktX8MjeXdi5eS1++tYHyCbYvO/1uQXIBHxkmERpfxrxiIt3AVEHN7JDN9vFHG2E3iWvITMjncifi7X+HgilSXyVFNV5LD/HrvPYfznwqajLE+6TfMw4oTxVqlaYnld+MY8CBKxklP4OVFJ1Sqn+pOcPOKW1S28Y8+n3jOX1Zx777c8jRertUn2U89LWgOuSh4lzJWOeJOP7L1+nS0UvraKsOP3hAP7qW5vx+EOLtUz8qxczdoIHudmpeGJLIc7/zXXYV5gUuAm8Hsqxle0QHZyix2z4rf99BSsrUrG4zM7nKBwXjX4Tygvsn+obC1CklX5OPtZeODs9JtfV1aliREZuJIMC840CwsnsoUPNQnr9TqUFY3NLC2oaOrGoyIlBFy1TJiVRHrbTnLm2sQ1tbe0oLMhHpjMV9X199ObO6VefOybdF9ufFEtTLGYyWVC46Blk5q9lTKMGtNQwjlHXbcWp8flG1HQlujYmczoc6eXIKd7GoKK7GMMuHa017zJaNUVCBBr+Fz+2TZ6idAVyaBGkgxzZRCvuMJ+RifP8KQLKtatXYMum9bh8vRr1jC8lzy8xxIFTdCiSUxxHk0FNJMXdD/fy7eJCNJbU6jT2K9QDAREiE81Lt6O1vQubNm4MtYgHNP9eYM8vYcliG07fHsSTnyrAp59ao56Mrjg8kTDjz8zGqN9+3b8JT3Ji/uB+yTw7zKIzKbra//TfA31/HdyNIeUqZHDCrejuE4uS8X7MXsR0eSMbs7PXa+QwKDBOARmFwpExi7ImTW6Vx20JUls8nmfyEaEE+ulgzU3v3DLmZbMwV4BAn++TCW7yFnwMwo2RcBPNt36OIUagJs9XiaT4R9urUAzk8bRR56YVg313kL9gP+9ZxYXUi6Zbr9Gnlrx/c/cOirhllKIzn5ucHB+thBiWQECOlcDxVm0TTp6+QIXvh7Bl4xoqFzeD+shz2VxWHuXESVs5OxQR1DTPYU7wc5S7GU5xk2JLTbeAhFa0Jhyhz7jMbE4CSWhvF///RpqOAiXbd8PtYFwbD53z9STh1z6zmoEvJeCoxtYWRK4l7fkId0wClA7QSdihs82MlEllOW6gJFckT1DuFT9jppRRlG1djrrDBKcjZ/11R/YlMaVGGIjQlpmlFgddTh5SqVN1TrHGQyplUuZIqBbJvZOacc/Pmcqe6tpU5+4p1DgxJQUCBpaQUSU5p5/Xv6mDwrNp3FD00AJHuNNOesO1lmb6GTDj+bQyWALBjFj6iCjKmZaqwNAwgY74JNHSvffo98bkm+0Z9Y4gLXMVMgvXEbA0oP76D5W5cFISlYVVD0mEsTlH+kC1At43PNSFxlsv0xuuHem5K6mHcxcdzSd5KQEQA9srMZbEganSw2FPxAT86OnzWLtmBdatWYULl6+j+vZdBUynoq2CB6rrY4NgqmyJcY791Tk1s1nejfcmzmMtZEpFt32EHuMp4nXCX5SUKR95PwTY7Nu3D5s3b1Yv+nhtD/aR0IabP9S2ePCDW4UoZbTbu01ufP6TJXhoa2UAcTSAE3BCARv5/e5H1Xj/3Q6Ur7Kih6gk8FkG5g/lWO0syWqu89rxyDPPYsPCh7jTFD2Z8VckqPKYXfQTBIi9//77OH36NHdTyTCL2JINVaxhTpjBpulyRjRmVZemKzmYlkVy72zlz1T2VNemOjdbHcb1cQoI/QI/+pWJdOXwpddcC26TK9Dd3Y0llRXYuKQMt27dhTPVRkVXMaXW3hV5l+yMZ1TT0UeT8PUoLiqijs4ttHT2koMg1lJ6HXH6FmDj88BsSUMWdWx8DG3QVnOQ1lB91F1JZbv9ouKJXWbj2FD2KZkgx+N2obX2IEqXvYDskh3oab9AQCH3yU3x7tAUdPPr4wzxQdnptbi+qRVHj5+mZ+PH8dCOzbhxu46hG8ihJsAUBWQP88lzklAOFj4T+Qg4EsAQqD81RU1zdkqBGrZbcWyCJvk9D3XO2j91xdFvn0DusRSt4mXNEhScl5uD3p5OPPXUU/jqV7+qyUP5kshgetCTcGWsnPh+9ItL+MGvHUH2Jlo51dEce18FvQ5bFNdGY18D/UMepZtjpkKccLT76Ob97Q9u4PN/cRIZS83olxeRgzwaVJV3JYMgpKNlGKXbNuD//v1HkEkvyOJIKxTLKXkBRf4tbPuvf/3rCtzk5uVjSCpgQ6M1BiLpc0TA6EEfwPdb/2VM6n2SA/2jn/N/y7yWQm19ASgnyRWQcAD7H96Fb569BYvFTa6nFESujFp0RtE35EI+vebu3rlVbUqOnTxL77HUZ6Eejtr9TSo/Zj9lfqAoyuvpg925gpybhQQm19DffZ2cGAeb69eLnKEBouOSTB2cod7b/NQr7o0jvRJ9XTf8fVadnqGE+F0SUZXL5SL3ZhQnz13EenJvKheWYz1Nw+/U1qOMIWucTocK2zBKoNDXN4DOnj60d/cy7M0QHJxrLfzIPJYQOjpCWrZFtYfzfehtkgEQP/qHXFMM2jYB3ITcoFlukJ27JLPZTJNJYXkaKZACIgKqvkuzKE4aonONCgvWrihUWRRA5Hh8+3AV/vGVK3DaUlBW7OQLl4yz9DD80mtNSC+npQB3HC4iGz+pA4sP+9jNlwgZKfjFpW7810EfcjLN3NmFV5xYMshHkhJFyUuaICkG71OC9Gw+NCMS6kd5EElT9CL9zZKv6Voor4fopb1x8AiWLqkkV2YD/ui3vXjtzUOob+1A3zDNlAlyHOTwlBXl4XPPP4XFlQtx9MRpHDsr77KJmxG9wjg9K3+HBHdZ0woYdJogZaCZmyg3j/l+BrRnun5rROICS+Aw1NeItOwlStF4oPumn3xyZ+z65e9C0ATzcV41cWK8wYjgJ06fxb/5/Av4ypc+jTs1dSpUg6xLwqWRGEyyCRugZ+mm5haKrmpwvboGTZQ6iMcicdgYOpgIuplBZBQwQ5NubjAVtyaIO+ZjlunHXXi9CXPJCrIy/zgXtCnh2NVACniJgizlvsumczXau/px7GobUGnB1bYRfOahQhTkpqn+Cmfj2Lk6PPHke1RWJAqSJz9AggoHuCAZi5ZZ0UVQE21gI9WIJXo5/XDU0ImgWIKUF6cr8VIo3Ba9jyKWkmMt6d/+n8bXA0uB0VEq4SoxSLBTGscO34kkUEQ6pq8SXfJJSwI/05WuxjMzeoeH8E8/fAX/7osvYN9Du7B82RJcvnINHR1diktTXFSIjevXIpUBHT86egI/fPlN2JJpxszXWb0JsoOJZ+J7mJJsUybfPs8IPMM09w4zuYe7lO6OhabismlJtCCNwmUWznffsBe71i3H2lUrkMnwGGI63sN4VB2dXeju6cUgfebIupTuTENOdhbN9Vdh5/bNqG9ownFy2cTMX5w0msmFjruYSgYJn5lPBgx9Ec0twApzoAR5GzF31FNswU3Au6svjPp31HsyjwrU1/pBRvp+o7ofS9NTcPNDFzb+MgNhOu2qJ0MjXvz4zWsMoeDD+pWpGBCTbH8f6c5GOd6TsR9Njo1OQnEEmG9jbYw+3trRr07LczOenU4h4zt8CtCTrCMXjswKmhRnqMlbK4uTRaCbhsAKZB4RGSL/D/c3o7+rmuKVocAcER8rsBFCKaKTIYtnc0srvvOPP1TO+TZuWEOz4w1j3ABpb2ZmBu7W1OK994+q4JkWExdJLlbilyXeSZsvxJrIzDXTww0LAebYrBJaa7jk8gaWGG+AFkQzBdiIwUWyxY7PPr4DD9PXjQCYdw8extkLl9Da1oFOWmsOuTzK6Z+Jz8TO0A5Z6WnIz82CRB1fs3IZnqVH6dWrluONd95nZPI7sLDMeAY+leclgMZLTpm8ApGlyEuIrP5Z7pbORrmJsQU3U/RHdj3GIqkRZoi6M6h3wUG9GfSLjlKqYmfL1Zu32vA/f1GH4gVW1PV7wA3IGJARcCSgJspjYexpuVm+0h1g/KnePnpKNpJBgahQgCOWi2paNh3ZLXyEx1TopDM40c1S4Jl1iChbFif1TxZO/bcsWNZc9HY3oPZKp7Ly0d4AmRXnJonenIlt7+7qwj+99BaOMW5U5cJScgg0TmdHFxWOF1VgPbkBq1cswdkrVVwg9U1CDGbzWcgg84WP9Pd6XaQzQY7JRngSniGC6N7IMxulMvE4Z3aWBsThsowd0YtKdabjs889QUupVQye2YTDR08y7tdVtJCrJiJDG8M3mGkubiUnhyrE8LiGCVQHcZuxqE5dqsK5C9ewkzqHG9evwecZp+rdQx/ig2NnmT+WAEd0asSkXftIPwRAakBSiBfuWA/3vjg8sMAqotzMuIObwL486MfDfjft2oaVGvsMtidJnvG5K420YxxE6lPk2jCcgugp6knm/JgnVccoLSlEDmYkgwLRooBXcWzEaqez4Rg94tZSJ8uq9Bok3lIKFw/ZZWvHYrkiOlt0OEe7XmvuTiqApioFWM1kWd6XKM+IIXZTRBWyyGfQC2YdF8ZzN+7CJzsRRv9O4ou9/FYtVq1Yhm2MDP4BYxy1t7fDyvdcrHTinthOr3eQ73Q36WyFxZ5DECn0C3FC4e7KYsumnx8ry+rkI2AZSol6DvoUQEQFitkVqz0Nn/3kkypg6aVLV/GPP3gF7Z2d1HUyK+MIEaFJrz10ACgOZpM53kQvUImn7BZFjZr6BgYkrqN+DqOQP/EoPkEujoR2OHb6Eh0ExkAHhw0SkKgcE4rfHqGpfFSS56Mf+08ZX7NSwAA3s5IodhmE+yIDePKw7e134a3j9OS71sRBrvnoizcTW2+TkveymSFOf7EjmlHyPKaAf1RxzHtG+jDYW4eB7qv0gEvAQpa/gBixRDKJIzYuNvItFoImE73kpnhhci6nbkcW3xl9stdH6dySRBYlURAWx3ELssmFZfM0zhNwo74VN25WY8+uHdizYyO+99KbKBTHm3PxRrGN5Mkqb8Ru+pyyp5WQznZyCuS8TtOZaCl5yEGjnxtHZjkPTfRofOue+WumEmJ5TcZKfc8wvvbpj2HDutU4Syupv/3nlzA6MoiMVFp8EpzcoxtETklgKAcFrAXscDxmpZpx4OhpDNPq6vOfehafePJjaGppJ4htJHCVqTs640+staQspSw8qukvjRUtVfATWJN+LE8jMKnz/KO1Tbsixw9qivea+aDSecp+i6mhrksgw3eYVhaSuhkd/MRNKvulJSvnfFPeHKeTSdxJS9JfqDhVa1Rz31FAWxi1RZSd46w7ysVxNMnKsWXmxE4g7xMwbyZQoA8YnyhwigiAIgOGJ/F4xWeSRpREna+FiyO+U8RLu4vhReQ732HCgQ+OoZ2RwLdv3YSSnEz6WPEoTlW8H7FwBVJMDnLL6lQQTLuzGFmF27iwMiK4OOqbLQl3htZVGbnr4XCW0IlfDYb6a3kXn8jYajxbIbG5nkLx4AC5zE/t3qS4ZPUEIH/7Ih0OUgQnYS4k3MtMYERoI5wccczo5rcKwMlnmUsdyOMUZ71z8EOkpabiKXo7TktLU2UJpyiSJEBLQkeIDpbo8mgg8965VgctQmJFZjnhP9bPjZ2XS+oGrWWB5yNp63y81wA3c/jUbOLrosiMYdEQ5mFnp6Yk2UYl3rsNLhQ5kjHMFyCyVyj0Dqr61G4umZYeWvDT0EuZH3fI/CQctET+xPv5x+vJKRa8V2IDiR6IiAjkw2MuKnLspUWPV53jeRVDiDtcApyAuTteTQ2rHtmJ2ymCOnnhFq7QiionOxu7tq3HAN2Jz43eISnHAS+RvrtbznIRdCO3dBfSMhaTphQ/K4DDJUFAjLwY6iNLhPyWjZgHtrQi5JTu5nPwoqP+I94n1yXN7VORpo5Qd2b/Iw+pdr/6xnsENvQnxPMCVIJL5KKzX276IRoht8ZNR39D3HCmk9N2kBycc1RGFou4tSuXEMRqCuXBlTspF0klwEYsiBWoCUQjk7IaP8OngCGWCp92Ed85Io5uqL1LH33AOgtO3OhEL0MqyAuFBjfS8q1o80f6jriyEAqgCw+4BHCVm5Gb5QjhznmWlTPfMJ+BWIclKoCQydkheig8mHbnyWui3zHXC8zMT19b/FQfuMvmCqSyy7yuLI/0CV7GnUrCSZBFSfKx7ykEPcK+pyn1fErSt7wsK06cuYAVK5dTSXULjy+hn+bFc5JIZwmXMDzYjLbaj1C85BksWPkF1N/4KR363eAYExHJ+PORMSVji2resKcvRMnST1JXJ5uejd9Hf+8tdkHyzu0zET80fQxm+uiuLSgqLMRNeoF+/c0TWLU0V3FzQqYzaSSA283xJt6Xk2CltapHKYwvXlSBdauX49SFq3DTFYBSqtbH7mwVMZ9kVQrD6lgf67PdaFwPhwIEN4HTukHscIgY6j2yYElqbeMEV8fdxUoLFuaY8Mqbrfjzr4npNTN0yM4g/suVjAA7J4t2FyesUgtKCmmuG5MkNQWOvWAqmSp/6GNW2MnCps7JzsSj+3YhNydLybtFTyJRkmhiycQpOk83qm/j9PnLDF44rCbHiW0cpbfZxUjPW0FRh4V3hU6PieXF6pfQVmubk9ZSCrCIpQ45AnJWKVDqQRhlp62y+gEOOQnJ3FEL+37sESnT8Gg9r6nK0Rf4qa4FTyMJspmVZsf7By+Ra7MJD+3ZiS0bVuO19z5Chp3O/BSHNPjyopNT9DuS0NV0GNlFW5BTso3iKhs6m85SXHUFLgbQ9HoGFa2T6RfHllqI9JyVDLewFWlZi9F69xA6Gj7iMwoEoNFpWail6BwwCtwIOhjvamiIzhLPoLDQoUSDoZYXmF/jLPqoLkB9KuqDXbxxm/pTt+i4sQKrlizEByfOq2cbjENGJYIiWNL0ahL1HQ3sfTyPI3vHpmtpDDk3sWnwdB2ZL+cFuesv5PlrDHrZ7mWcGS62skmtGsH5q40oLkin4z7qGXDikylWLsUzWanU2dTjxY7lThTmsy1M8jpG94mGWlqo+VWzp/5D0CCLisViQUFBPgrycjnpyO4zinVMXXMIZzVwI6zrVnpKlZ2zAl/cRcsYGkv8kUKFXJsjXy1QMiEnVj+kpfro0b4t1kyy/AniVUc0SCmHCuCMcQH4LPichGcAxl1LSaL4iouDP1b1WPfnw4Ho4dhyLDh17hLW0DR557bNOEU9joH+HmX2rvU7jj0hWEyiGCqjYKviwvS0XSVwbmM4heXqI4E1PQJumEThOJl+ceQRDvcxaji/TYxNZUsrxQADZ8Y3yfs58R0Vrs0gOd1lfI9LigtVvK9j568xhI0dLoqVopFEjAcfQ260dzE2WDXWknOzlBycFw+cQg5DOEw7P/tfVM20W1MY1t6FmVol74j+0fPJOy1JzhspWApMAjcTB06whdybL1rl3FvyfD8jbHkBN9W1nfjO67eADWb0UTSlNq2rUvDagWr80nNrsXZDKi62DqEk3YTeOIqm5MkpHeLbHnziyyXIztCcCkbviUpJ+icaTzP0loninigZiofSN94+CLst8fSKZBqTnsl4kXZ6Rlz+xX8SzbhQDXTfhpsRmyV2UMIngq+csl201CnU2ktfN6JQLEm4TsQvTP7J3O+FQODPKAGOBm54me9PTFKMihXF4qJMB945eZVO/q5hB8HNrq3r8L1X30F5Vio5DNMuj9HvpujTkOa21BLkle0lZ3AEDTd/RguqWjhzVsCZvYxm3rlK8VitpXxeQ+I4seMm+jou8/pKFC56HLklOwl26rlJkLbP3aIrPpIk3MX6/GxGaHeSG96G+kt1WLGxTGHnaA0VGZtUdUcdPRePEDRl0zljBnVxpuWU8r2Vd1dEqZqicCg0CiVvMENEyot2mcHUO7d5JoGbuW3M/eWVpKoAAEAASURBVF47x7ryajpCJPPiq5dw44MuLN6eioYhLVJ2bpEF//x+MxZV5mLTiixcrOpHUkZ8H5GEiXeLLhBB1c4NpcrhlbycehDP6D0jedlitJoE0UgBmCOUo0sMGc3r6Ny1ZabmyuRsE3NomqZOlzyuXsr/u3h5Hkxg9IorHAKrI3vK7ugAhzBHu64ADsVSXFhkHE67mExZWognY0Q+ee/ZdCq4unHm7EWGAliJVcuXIufAUbUAipg0PtwbDiaCFTG9z1vwGP1qOdFSc0hF9k5KcaCj8Qg/h2mO71AfAZFe7xB8iotDvz3JVnS3nYWTzy8tcxGf41p0tZzkayxzVIyIF8QjHKElnThOFJPq7m4JKTGi6BrErUFnkedjp++iTgbW7O1jFHW+jzl2s7KsEgVsnRsviEpAjYxVFQ9KHn7IKbpzUTgtCLnJEd0gLYxun6U58V05IyLA/L5ZG+PaQ3znw5v447++hoWb7Wimgz6z/7n61EqWhFc/vIvlCzORWmhBB8MuWMl6lckx1kmqsFMkVdM6gs89W4zVy4tUldKs+zHJJjaNFmtjE1OCdlImVm33N00DOT5UzKVpLifCaRlCagiLIpksBqpR/Kv9Vx4R9HbK4iCZhVOjMtIUnHvgMQCgypL71IF+V5jfUgaTKst/7G+cdiEKf6VsN8WLJdkOHLlwg15vL2MDPd8+uW8bvvfTt1FRlKHMxqNQ1cxFkO7JjFGUV/YIzbmXU2/muAIzSSl2dpm05re2OMsGZ2CMDEnJPM9OyD8fnS921B+GNbWAVlM7KJqq4iZBlKPZybAW8pmbHMxVmTcddpuyburtpbjTSt890hb9eQZTyGx5WJyAUGUiTnNxGaPJFBELFydZnE/SN47MI9q7qvmtma3I6a+zMiNFTAHThAFg0DRigk5VgPbOa+KoExcb8Mw3jyKDOjVDVOoTrQI9iY5Npj0Fl1uG0D7oRQYjgXfTlCoec4bMAy42xSGsm5tevPDflzDWCt2zs/KEWfynmqzGyaeTMaRvpQwYDwKH1KopMk/V9wnZ/JyOCecS58f4YxLA4ue/qJPsGBeFCehGfrLpAuiV0zUVNJCm4eQ6qEUr4J2ZMH+F212dtvq3lCPHgb/DLTvwPvbTluzB8dPnsYWRxLcyDtW/vncs6tUEVqkfi4UUvdkhI38LlYg3K32ZjkZyjkSrj3SdwBFjO+XfeJKn4c/BhXyw9y56264ocJNdvItWV++o56IeZ+CzGS8gOkfTPBN5fRW3RNrIsRXzJOOV/xVVCMAFuHoJwMWbdhxqj3n35qSCwOEWpQZM5HXrgyfSb2lcDBobpT7HtRi1C+WQF4Bw5moznvzGQaIIF0GMCf1T6NLIhJ5GgNHRP4JeF13Vc1ce6xdGHtUIKymkDXgVY119+ldKsW97ZWzoNDYueCDHoXymalEo90/OO1V5xrkYU0BGM5dOxcqXqkTpU2RP934kcvgoxVii4Cq6IfIiqEVXFpdoJ+X1mIXGoGi9qcJ9S7Wacfb6HSqm3kZpaQk+99gONNFp50xiR/3+8L/J+aKejSNjEbk2D3EhHqY46j0qEXdoK3QoMwyRhKh1dzWfVEFMs4s2Kf0dAUgKpIbfyLDvFG7UwOAgxWxmZFA8JfMrp01/38IudsKNMuTECEECbFqtdDzJ437q+qjhIjShJZ8Sm06arOVn4N5Jv6y+/T/GzvFA5dVP6C2Q8/rxLN+B+cbqDTw5y/330+XYiKViOEHMJ+LLYNd1VY6eq8OuPyCwoaO+ilwLmiiOskxDJ1EulgB7vD3oQR0JXTgtKUCVJKa2/Un47V/ehJwMm3pZ9fZHUv4990q/p+n7PXmNE/cRBfwPnuPaas+j3sc+6m+sVEBnpk76N8oMuLmCk79wMmPoBC+GC4Fwnby0usm0JOPn77yPNatXYOvm9RRNHUJKOu2XYqZXTNE39WzyFzxMZeFMNN36BX3aVJHuFk4woVYqG7UU+slpoun4aRQvfoqOAPegofplOlqUILvyjGNIxCkGiojtu3qoB8N2ZWaI6woREU3ct09xW0inZHM6wCji2VkZSHemoYXR4FvqupBRma2UhlW3/XPaGKgIqCHwnE4d9e3/oZ+TW0hhRUI5pz4CvHkQWEZA0fccTigr8Mc9Oe/vE7EBN/c3zWbtnRqQfmAjAOXnB6/jE984wtHpoT8bDdgwzt6MU4DcF69EHIV8NujK64P4mxe3Y9uGMlV1woij4kUIo544UEDEGrUMAbAIFioVmxgIczaky+GpkniPHaDL/xGXKE9Hb/ESM/tRQVDCfZjxrdTaEclfsZ6xUjH1w/cu4fmnqxT35pMf24xDx88i02GhiEPaEL0kQCSJHLD8hY8jNaOcgOQUP8dYgVmBxHBqEi6QKCD3tp2Bk35v0nOWUYdnLdobDvO86O2ECpjCaYV2j+hlpVNvrrWNDlB7+5CR4UTl+oVKN0geaTST8GlKigoInJJYXztt44XrqInroisNC5j89TEpYE1xFwOuRbNz92FZomGhUjRJFs2y5hvNZXcmLNEk/mlnELfvv3wOv/On55FdnqJY0s10jjcdsBG6CajRpzd5NgI89GcUTVpImcIhkraWOFJw5YMB/O5/X4F/89x6tWxo/YhFzeH3YnJrIh1nk8sLv2XGncFRgE+Mk/RAdzUaXT30l+LkbbOLXfXnJAIR91AnP93+dyKyEaDiKbE9PoppUhh13O4sUz5cZHHWd/563cH1L7hcLlrpFVek4e0Dh/Fvv/AZ7Nm5FacuXifYcKuYUzMqjwdXhZaLejZUgaWOzU5k5q1WsaDa6z/gNZ6XjgXLCpiiTrndQ+uvzqYTKiRDRt469HdVY5j+chRdYwwS9SaJqMhGUV9dayfu1tRi5Yql2L1lDd44dJSBL6lkHAV2mIAZcSBZmOXEoopyWkv148q1KmSXpildo/ExEtl41PokZYgY0c1nR9/I9F9lo2m+1yfekMVlAt8XHfDoRAjiW96y6G0HgqgwAbKMcW7GH1BkrZJHI2VFq7zIWhO/u2WeUBr0ghaYLt5oxp9+5zh+8mI9KjfZwKGJdrF84uXJr4B4nBdAI7o2DqIZM0ehlCLgY4AXRTdHLKom3yf1hJOkbLrWgTjrK6Bs7Mq7/fgPX6vE7/zqTjgdDGLICSMm4ijWK3XLR/oi35GkSO+PpG7j3vApIDGjBvvq+L5whx/MAjv2oMXkNhq+fFggFywfgyom8x1Ip2+XTHrqTc9ZDg9B13B/I8e/hB2J1hs3kVaixG6jfsibRy/iiUf3omLhAqxfuRiHT16gUzgbRpTvmIn3hPyLoI1LMgNcLqT472F43QNorTlAf0kDWlFqgQy51LEbFPeGHrH7e6ppDn6WIq999HS8G41VPyT3JlPpSo1ljuGBzLkixrFyWJxiFPCNG9YqJ4n/9E/voXBtWsTgRkaAmWbfrb1DeHjbCixdXInq23dw6eZteie2KT2caHZPgEtyCiOYD3fS91Ad9aQWoGT5lxgL7Dw3Bddoek4rNprkj8+iwdQem3EcTM1zmWcM3ESrETIPjc1F0So0iHK0OTLYhygKjUEUGmQWecEE3cunh4rAr7x9FV/+63NKv2bpNgfayK3xMI/o2EgL5SPVC9vMQjAkFkopvH6334v2bipW9hHqCNqhSByFZlQ4TeghGhFAIinSpgvTOJdy/2SydK//Ygi//+er8LVf2c4YOA61E4kVsFGN9/+JtA+BZRnH840CMpD9QCXkgaC/QeH0WSqTDx0HMrq13bkAWbQcyipYr7hIfe3X0Vb3ARfsu9oCEiEAmK6FqgV89xwpPnx07CReKHoWD+/ZgTOXbijLG5lHNEOE6UqY7TxrIHA0U7+mcNHT9GvjIOh4jSK92yS77P79E8lsxcx2nfQZpaikp+U0MhieIYPcof7ODejtvEr6MRRInMRTwmWWAKWvn7yCpx9vpJ+wCnzulx5mGIazDJuQHJGoT4/pJno2Dz+0k4GEU3GavooGqcCcSc6QBHmNbpK1hP5zRrrRcvt1ZBZuRzrHZ2FaGfo6lxLknCboua0AnbxDwT1LGXEPXiK4Cex4lAZ9nOiooXatBzIhTOzLzI24996Z80++qt8vvg+kbvF7d+5yA/7XD8/he9++i/StFmSV2FBLB33CrZFhKJwYaaaTYCaVnwFychp7KLetIqDh7qB4pxO719PBVqZN7SiHaC11pKoH1453o3CZBTk0DRdvxoMsSMRXfibR5KbN+FsBG7KBatpdlBmn4O9/vBNfeGYtHDaTBmwUHWcsYg4vBo5VvRmRjNmpytPLNb5jT4Fwn12oz4355T3lWygWWCZLKjLzNyCrcBPZ/nnk1DRx8f85Brpu+pVi9XaFWk/wFBPuaEFGKt45dhGbN62nS/+V2LRqKQ6Qe1OQbvc7lgy+vPGcWptTUmxU9N1HS6Z8dFDPRpztib8aEXeEMk+OlzvVkSzEBA8MpdFefwSly55HdvFO5ftGLKriqntDgFOWmoI33jmkRH1PPLYPt+82oKOjTXkjl1hyoSaZ24XD1tjnwpeeexQr6Xjx9NkLOHulCk6bRYmqQi0zuPzkRnEIuqhb1lb7rgKLWQyVkZa5RIlO+9ovMQbYBbiG21icxGZjZrlhRtAq4yJ24zm4fsU31yTOTbQ6H1tCqsfoF53oLRavugOMqN3RPYjG1j50k43YP+hSzzyNinrpZCEW5TmRn5OKVIeVA153JEYmCcuSNV0DSNM/AL1ePa9e9y2GUnjx1Yv4xj9XKSWzpQ9T2Y6ipNYA/Roxtc4kqEgnqLnb70HjdZq25pqwf3s2nvuNhVi/ohB5uWkMd+Bg+yyqLSIvbuvox8vkBP3nb19Gc9cQChZbUEhfOAJwOlloKOIqATZ5vOEunfQ9s6MAf/iVrdi6rlQN+ViKou6lqE45/fveHMGfiUYZwddm5JxvFOD4kLAUioswjMyCLVz0dypQ4xpsZxDI99HTeo4LBRVExReMvNxqoYhtP6UKmW+8tDA6d+EKVixbgu3bNuL89ducj6i6GmYzxJ/NqI9chfzt7KumB9NWe4i6qGIZFfoCPzsVpCMpXIAvordjFcMz0D9W4Q4CKhpQqJlFZs3YJ5m/7AypcpzRussXHMHHHn4IX/7C8/iHf3kJra1tcFAvx+V2B/1oU+hs0sry6ruH8MLje/DYw3vQ2NyCV998D6NurivsUmTctdlpImPEy3E72HsHI4MtBDfLaV24mtyczSpURk/reXJyjhNkcaNKbk84ujizt2L+5pgEbhK/IzKgZFIQhV1Jtc29uMRgk2euNOPtU804WsuAbwNcxvv4obm1SjbuIlL5SUvBphI79m8uxLa1RVi3sgjlxZlj+iWzDdbAet0EFzfvtOGdj27hP//oJkYv9aFohRW2XBtaWK8ACRFDSQso1kcpfcjUEtQ0n3Mhf28GfuO/LKcvmYVYuTifrsPJqdG6o7XX/9diMiG1JBP/6cs7mbcCrx64gf/649toOcE+rjEx7pQZnQRRurhrws2TfsjLWMA23L4zjC99shx/9rWHUZgjegXaSxoPUZSqzPhjUCAuFJAXSj4UnXh7adWzhk7ndtOcvIKnvAQ0l5V1zxAtt8CFX8QomrWUf86IcRtlty1hP3JSLThx7go2bViD5QQ4i8qLcInKqk563BWnheNpigli0k5d9JFGqXjqzF6FvPK91B/qpZjtMNz8TpLgl5Pyj5cd2ZHGOQDrOkgdkTKK+jYR6DC6OPVG4qlcLJvBdCrfvPSLg0ij+OiRfbvxq1/6DP7Piy/hyu1aFDjpn4ZdFSAk30IPBTLlUJGXvD1+yzwvz+Zqcx9+/bOP44n9jyk/Oj/52c/R1NwqTPaYAxtp0tjz4nP1eIYY+uIkTfgZFLRgBxXE1yC3bC/SGA+su+kk6X1OU24WgK56p/VQFfOA/pk34EYelThO0hdh4Za8cegmvv/WbZz5105G0WaGhWbk25ORlZ8MS1EKB6omu+Zt6sEPUKRzpr4fZ05cA2quYu3zWfjCY+V45tFlnFRyYFERI6cfCSJWEk7KjdsENYdv4b+9WQecHoBjPbkp6xzkpPjQT26NAirMKy9BNjlEgwz5XX2WgIQKbn/112vxxL6lKC+lGSyv60leOEmyY1NvmnzzlAAuiXy7kUBszbJCfP6pVThGnzn/8PMqHLnWjbJME9rZr9kAjigq3+51Y9mydPwhFYcF2IgZpeZMTVUqFRvJoMA8p4CIiTWnddRSY4DOYiq67qKp8iqeT8FA5220Nx5DXzt14pIcftNledFkOxLfJLoi0taBgQG8c+BDrFm5DENDQ3ToR5DCJunK02pHzvaJtZi+GouITTgmeh5puSzZVkchCir2qwjxTdW/oIXUXQ3YTABKUe4nGzsq/aAuSBd93+SUbKeF1g403/25vyL/ZBblaicXJ3MlnQUzhAzw8pvvo5KK2nupy1RUmI83GSD3vY9O4HZLF7IIgCROlDhOlLlVaC0m+m6PBz30ZeNNNmHHykr8xq89wmeyQnFsXnn9LZw4ewXpdoqjmHfKxHI0kDTl1TBPytiUgpmoSOzxDKO99ucY7LyEDOrjpGUvR0HlkwQ5K0n7oxQJcqNNM38VRFfd579XK+GB+jsvwI32bDVg09U3jJfeuoLf+T+X0XOBcURKU7Dm2VSYKe4Zcftwo9eD1jo6k+rlQxWUoXrIb0Em2ckoyDejeC0Dw61Pwummflz8vfP45vZq/OZjpQQP+YqTUkDxkJ1sTHFK3j/gYqj7ftyp60T13U68dbIZhz8imOJkkVpmRtkeATWjyimfiIikymFWlUe0IQyj6ltsS6YF/99/26RAVOWC7LHxPw5oOFXJjZMTT8kuQvovL66ZAGV5ZZ767NuxCF/5xjs4cLGDMWvM6GYbhEM0OckpCauQzxe+5bYXf/knW7C0PEvtXiSirpEMCtwfFBBQI6CAby25F1ZHAXe4GwlqVtJxXRadzrWiq5G6J/SsK0axyaZs5qX+SSwX/SAI6+FCKUqvl8mteefIRZRw02G1WNXGw+eT+E6jVAjOQIo5h99pbDcVdcl58lLPxePuo0JrL/NS3MSFz2SycjcvejYF1NX4kAqoothLMVXMgZtMUNzUJadSHHUUjnQqahduVKbh/Vxslags5m3QiG0iLQe5yfz4ZnLqcnJwo6pa6cbsf2wv1q1dST2cWtysvo2Gpjb09A3QVQ3N73lPOr0O52Zn0NR7AZYsWkjRVhnS0tJw6co1vPLGe6ira6RpuRUjMykQTzH/BjEEgs+ixirXClMGhhkod+jWS0htpxiQpv52Zymslc9isPu2Cm46PFCvxrkKu5EUC3Fk8M2eq5wJD25kYde5GedvtODP/u44/vV/1SF5mwVLN9hh48CsIUei5y51WJpGserZLOx/LAe5uQ5k0KzSRqugEYpuuig7vV3bg38404GWnzFybHEKilfbkLnXgju9I/h/v32dMQhuAKsd2JxlhpPIXsBN55AXlzpYdhVBCpWDsdyCBYvN9CDMnQoBUx3PCUTQOSeirreA3KMqtgkXPPiN312Mf//COsV10fGL2rEx35SAZoqRIP3XQI6fjcrfFcUZ+PqvbsWBL74JUyblzUQ2LnJ/Jr9fZOrQQV8yqmuH8YXPl2DPlgqthskZp6jXOGVQYF5QgFwDWVx9BDUWawZ3sxuQU7yV/lcKIXo1zbffYeTr8wQDQ3yRxIxWABDf6QRI8hrKfGDmPFZZlK5Ml0cZiVt8ANlSF9GUu5RgoYQenbMUN0Y2JLLR8dHHjItm60N9zdyt18M10MC4UesI5lZQ2fQ6g2IeZrksPG7gTSqjOIem5mIaXpJepkRjrmsNNF/m3KlmJskTuyQ6Mr10rLdj01rsp4m9h5yY7734ClrbO/DQjs3YsG4t9u0pUwrcPT296OjqouhsREX4znA6kZWVSe/DTvX7bm0dXnvjXRw9c5lWpW61sZwR2Ei3NBLEroOqZFkDBKwQzNOR4kCfOMRsoIPGpdTF2UpAvwGOzAp0Ux+nr+MSRqh0PDqqeWxWnL8Yty6RijeplVlapF6EKDUtSmNYXmJZ1CW9fbgaH/+DwwCVapc86lARaYbIqbl5iuKe5Q78/v+1DPt3V6JyQQ7yctIIakQsNbE/lA7hmx195MB0UKRVhb98u4bWSi4UZ1KcRVAjYc/ahtw43UAFLW38KHvtHIKDzPUMIsm2DBIo9RHUeKnALN0kQ0QlnlZ+aqjWg6pzgyjakom/fXkzHtu1WFkiSSbh1AigEXFZOEloIbcKXSRt37AA/4X9/pNvXcWSNRJh/F7CCw1s4j6z3oen91YgnTJ+uT/cNoTT7nvukWbKJ1QyTGY06eXcU0GQJ6T+KdowxakgC0yMbEKWmdJc9G+2Ns3U3umvaT1RDs+46Gdkr6E4ZBvBzSK+nzQuaDxJTs0pDPXX8b2hTg05O9qLza+5IMLkjgS0QRjLXi7GKQRqjpw1ivORnrOE8ZKoF+fph8/dzQmki96GPZxDOG3T4svpLKGriBUEDx4MDXapSN1i+dXKQJZuOibURFexofzkrmi/WRfb1ksgmZa5CNkl25Cet4FA6wPFWYql6E9ETIMuN9YsX4zPfeoZhpsw4cUfv4JT5y+pOfq7//oaVp48i5VLF2FBWQlysrNQVFDgFwFKdO8RtBMEXbp8Fbfu1OICOWnNHd3IoyGKUFA4bDMnAR3MGTdyiyhQ2kRAKeI0WlAN9tdQ32oNFck3avo4WcsIcs4S5FxmHm7o1bojgy5ujZyZZDG+Os65CXjRolJnhOXJONGBzSvvXMXzX/kQ2RXJyF4oinbAXeGm9AL/zx+vw6c+vgILqcNiFe93k5Io/ja39aGmoRPd9Bgsi72Yba9dU4y/LM7CWx/dwVvXupBNACOMGYc5hQEkGcKe5cgQkLrE0qlJZDs8Q+nX2Lyod1G4I8WUQfUwgvetMx58/eur8W8/tR4VVAaWJKBGFKCD5dSom2b4I3SRMi1szLPUF/qTH97ijsVLMViy4t7ot8rQF+usGlGw3uTAprWl+qW5+xaiBX4ibYn+EMIpZ9K98lMmyXufk55RxoB+LBXqv/VvOSdput+TzwebV79vpm9VsfojXltFIXKqJPObmTod2rsl5UmSPullqxP+P4HX5dTkPJN/B+YJvFdiKk3fJn9loX0poCKcSh/1asqRTQsSsQ6SCby75SI6G08Q1NRqSpYqJIC0Z2qahFZxLHJrekImsx25JXtoTr2VIiYTRvrvYrD1LkVQ7QQ1g5y7BNhwQ8VrJpNNialM1ixY7AtgI6CDKQuiIC1O4JKFm0Xq+PdBsWj0tGWKk8KOpuNIZWiGnOJtGKJ/ncGBJtUebQxNe2tYF9T7yudeVFSAX3rhGRU880cvv4Yjpy/CSfUCaY+VnxvVNThx9Q5N7R2MnZdGzr6oM4jYju41hl3oZHyq1h6Kqgh0CiiCyqdJvoxbfTM5e+MC54bZc0ecQ71i/ndQfOO4+ukx+iOKA2+Si7eBFnMbUVj5DFIzlypP0gP0IC0izHExof6ORtyShCxgHNxI86L1bKSciOcR7aG9R2uk5796GHmLk+lm26QG2507LmzZloM/+4/bKGZZOKaYK4NQJm25825DN85dacSBo3dx6kY3TlXRM+cZYY+K4iAbuN2OZ9cSfHCiL820oovO98Rj7wgHM93LTJjGZUEQUKOnwCEhwKecYqgboueT58BLL+7GU48sV0BL2iN5710s9ZIi+Pa3Zxl1cL6wOw8vvteIBUUWgpuJZdoIqlw9XkYfLoDoEs15knbfi0HDa1bAMwmvgIl38dGjjgDYy7Fwz7sgDzLc+ma6d7prk89P/h3Y9MBrPLan0ycS3R1oo288ozTfQ7Re30ldNRnksejPeHUBR0lIy7AggzGAIk1KgVZ0a7wSBTqdQGAXJ/F11Ekhi777jvLk2t91neId8eSqWSHGXuckgl4RhMiMZaVeUAEd7jkzF8I92IyejvMUNd2hVGmA84cov1o4VZmVyET6I04Ifeyjb6QVvuE6mIaqkeJYgsysMiQt/wyDY75JelRxGhY9JJnz4pRE94ZcMvGu20nOWcHChyku2UL9kJ+R08DlhnNiNJNsRkSs50jLwBc//QnkUs/mjbcP4I2Dx5BNLvWQi1HlWaWsC5nkwmRzPpRQCl0USTW0tKlNgHCxrdzU2ugIMD+Nyrhsv4c74Ok2CNFsf3TKEppKJ7lpofxhhFZqHfWHlNPGdMb8SqWYqmTxc9TBqiI387ASYyUlMQaYzBAxcQ8QnV5FWspEcBNpaVG6XxffXKCOzcf+4ENYChkqgAPPQvHKrcvD9F9Qjm/8xkMop4xakuKMyETNQVpd24U3Gajy2z+/heo3ycot50qakYySLBPsT9A6gnmEG9NDpbPXTnfQRDwF+Q7GWuGgl8XNX4wqd6Y/MpxEgXcBOTY3aJr9ic8V409+cw/WLMlTt+l9CHf9mKluuabtvOkQkOESnqK46cUX65FSTFqwYeyKSsJ94rsP3PHioXVFyn+OdiVWrdJKn29/ZXIbIWt3QUkRnmSk5uzMdI4DP43kSx524LfewdnOB+aTY53scp8k/bf2S/s7XZlydfK1wHL812TcNdOvx9mLV9HZ3cPnr+loaM1PworFC/HCiiUcC+LQzd8EvW9SR2CbAsvX6w/M469TTo0l/Zx+Ly/I4tPQ3IzT56+gj3F5UpQ1UECGsZtnOFCcCJZFUCMcjqzSRyiC2gSz1Um9mk7uTEUEdUJzwkcwkEwFWwUCZihyTi9xzMl8JQ/B5silJ+FnKVJYhF7qSnQ1vk/g0kcOjInPTxbbZG7q2NokDaRo2zdpveblOYlKsfBRgdTTBVNqN7JzCPZMz6Phxkv0P3Nd5WMGuSEuSXQ7RGm7u+UUxVOVSKceUD/jiXW3nWOfJLBmdNqSIsCG432UStZf+swz9Ey8EB8dPYkfvP4usu0mcmPG9apko6nHmZK502RKQQa5NvIIJMm7IHlG3HEEglrV0ftLumpvlbaWDZJjNkwfOanZ9B6du56+cZaSm1ZJS8FrGsjpb6AUkfHdhAZReibR60zkJSUcuJGJUDgdndxB/9l3jysdm9IFNtKfwObaMH7zVxbjj766RwsVwIEtA1UGqHy/c/QWHv+9D4Cb1MNZasbSfXbl6ka4GX3M2+UXLckAEE5MQS6j8PL8AAe0uNkONvEWFTaBAb6p8zOE3/ud5fjtf78dheSMyAsiKSbcmoAGSmt1ALVuOdFfrlntymWgyjVphYAcxSTp8dH0nBYX/C3m9LqPoIDiHuhDGTsj3KllZqQrZ2rC3hYaamn8SD+TmN/yxPmWcPxV37mLqzdvyWytTd68JM/cTcWw/LwcrKE33Ix059hY1UZMLHqlt8kH2007/VFV04ixT72r+nsya626eEV0SPicsgq2EdRsoZJtmXJe1tl4Rk3ULjo5UxGpJf/YJD9r6XOWQY0qhi4wEcDklj1CYEPRQeNxtNfQfJr9TKHuiuIyq/lEuC/yJst2RRJNmPlX5kSPetMlL8+MDLPrF2Hhbjwjcxu8lR9XsYgGe2uYWe6Q5xGHRPqLKbJEb+9oPErPxS/QPHwnLXluEKRJq6UdkbVFzfssZZjKsv/x889h4/q1DLdwCj969W26M5sZpMjYU2SNsA1xoGSYVZC2qoPC1eJGvu0C9W6uUlTFUCNFW1XIEQc5hBKvqruFG4KRQT4v0UmTxxId4Blmw6N6W0KBG3keuqLrK+9eww+/XYeVj5PdTDBd0zCCL316Af7w13crYCO+BmRXKkkbqLT0poxU3vGVWwhqOEE0iBM/linPTBZ6MdXWE0+roJRy3sS88juYJPmEG0KDKlQdG8b/+IuN+A+f34w0f8BJWUQCqgmmyPDz+CvKyU7Fx3Zk4d0LHShgw8Sfj/RLwIws2lhiUY4CpSJpf9zaF37P4nqnAGphS7e2tqtYP8601DEqcWio8SU0U7QLIJ6Mu7HrM5xX45PX9SyTn4FejnRaP9a/5dzYQ/PfqF8b+/bn0dpCC7+ubvT1Uywj45qzm9wm3yYOiju19Tj4wUcU8QpnQ24c74NqIM9JOSr56/P/Uu3gejzej8C8+i3+c3rZclpa0N7BQIBD1Bvxc5LGypztgAUlk2ProHJkVsFm7jwr1MLZ236VTuPeV3o1ElYgyUSRq5qYpdHzIXES8Q0jq2y/2lF3t15Ayx0CG4KYJLULEdGTzG/TLzbaY/Io24exHlP0M9J/lXOdFRl0XDhUsgMNNAv2sdx4i6ckwOMAA2v28Fll5q+mCPEhKju/y+dHJd0IxCEyrsU/DY248aUXnsC2LZtw/uIl/OT/Z+89ACM7r/vegzLovWP7Yvsue++dIqlmFcuSZctVbnL8rChxnMTPiZPn8hKXNMt2YstxLBfJkmyqUCQlkmIXl51LLrm9YReL3usAA+T3P3cuMMCiDIBBWQrf7mDu3PKV87X/PfUbj2LZhBgKYDWjL5pxQi3FwdQJsxRlzCfPoD7pAJcYDoBazz5p3XDPytbdiqL3JQRUxQmgW1YBftoPugVe8Dp8scyh2WmxqsCNr54snfXnu+0//PVb6MVEDEfkdroralt3FCGKutWq2MjFsQiBTWLzLt9Ta//6g5vt///8Idu2J9e5FuMLNTdO7TIBAKWp54Oz0//VMxWgpOPPDth/+x/X2i988lrXrwm5KNM/tTRnQxhVAqi7Zgfg5qEmy4cb1S1wQ5ECbY0oGqdvx+S9WDLWtTQdBfQmp/HUCig429JuUWQAou18xsV0+S73OQ1ntUXuEQTWHNwkVEItOtvQZEdONYSaZ0vexrBOudRHfpq8TonIJ6F+Uw+lX5OdWw6ouRK2+qUeE6oHvRpxOPo6cVYG0griJQkAXGy9hag9v9b1hUaGevBL8xgbUGAJJbm5wAg7NaNQM1ltC0BOOOdDWukK/mvDnyhVccizI32HEE2VQru91tNxDWK7ZxAJibOccO/EU0t2JJDRevZpTJU3uwVYT/s77nMogMjz7zONp0zGUS/Kjh++/xa75ebr7eTpM/ZXX/o6ZtF4Yub6ygAbkVClr7YkLlUwftIAvCOY5TeffhSQcwAODkE5y3fhI2e9FZTusE5ZFvY1sr8izktyjq621ibWB3ATdsj8B1piRqk41sKn9MjTR6z+u1226568gPNwZtQ+/7vXWt2GEu+omUQ+Or+phje4znAhSEWtgjx80nBYi9+co28O2G/81j77uU9cs2LARrVycjEIZSVWq3Y34C/jqnAZDDg3A4jiblyfBWdJ/j0u9hSO1bAdix2zU/MLrOXy0e+6mJMWM3GjJuZ20BpxUDTHinIXr9g7X/qoPl6lOR+k3oiWxmJRFt1a27D7h7GGqiW+Tr21nH3GTV7lS2VczDLORr+wL+csaqVuALRJUbis9gGUogsxlf4+Sp6NtAnLHhz0iXudDigIPGipH/UJOTgh6E5sryBPLBHiwLJFabzviOWW3Y0V2RWEm3jBvQjzZ4ZWqwylma4HV+f/F5HvAA4UG1+1qs13EtfrdoKUfg38FrZnfjlmYeLdjmPV+++40e67+w5ra223L375QetEQTgCS31uk+35lTe/u0XDVNNvfjWY8W6ffOjkeDenAWIabBAl7562XVZSew0iKxSPS7fh6PVRxFh47x4H1TPmmMILIc1SS7+EVVwFhAM8hfVOMistyFp4m9r67O8eRV/gEikFwkY/NmCf++WdxFbaNmdO4p40t+Ooq2Dq+82cj855g5SQS/HUd7RxyD764XX2Kz95HV6McfRHmTOBrTkzTcEN4XBQUFDbCDsWvYpQ/OacKemSoFwnhezVkcKBHH4vplapH7N057virWX6RTagucxbV2/S3FUsnS6c8N2IpccWaz/3Co74vo4ORw/VRu4sfZQFbo4r327a53pExEEq3007B3B69zIrr9rkgy8ApkzeNPRTgjU5UNCdADhqxeT5E9453j7p2Aw1W2YUbm5hJXQUBwcnpTNuWqpXWDdVRRthCsaJ8kAM1d7wLP6HdvLZAZdgNyD1AE0QyE4O5KgmAi/dBEe+Ge/DH/ngAzaEyfbff+UbeB2ud79msoJa+ZQCmqW8EVPrxG+9QPDV3f4W/nFOAYCvI2zHvYRx2GVdTd+nzySan/pcaisWjjfpZ40B5lM25uLVFM8zIWmKpPKTkPUch+E8eutQoz35VLvtqMyylj5YqIUR+8T79o4DCdVPb4GTPvHFuqGp2/7u6XOYMBEBlnOp7Bqp94xKf4VF6F/+LAOB6OIrDWwSSapo51aWYQOAmywWRrXdlz8MKQpyEAnwxuPJTyY+uRLHYSXmO9amq+t880i8f7r81s6tBgqMjeGTKgPdDDgZPfjtGMBPijyyujLZRQts4pSl/vnFe918fbC3Gc4GytAOeIIVS3+1tgQm3/K8zHonTk74jf7EKHQZZTP3D9dGdI71aZRvHesTwyPzSP8Zy87OQQG7DloOOICZ2r/aZDLYYPSRTlT4kahW1xaXaA2m6DE8Kredfc45cuXrbsCTNG44OK92A6n4lhg1/GhbmihXR1JDGoXrtHvHVpz0/ZDX62tff8jeOnTM8nExsAZsZu+lYGQl3BPfcNMBnrERPPwTXVzi0YxMrChdaJ1wb8oP5fONsYYyffBhzGFBqeM0bbQpSonuW1IGBi4g5ByVFZ3F/dAb5asHcfaEBnEmopZWlIh/9gObMF+tGs9Bc02TYVJi5LcSXuFPvviSHXmzy+rqsq0FmeyUuyY9Mp8f4AUc+xFR+/CAffZndtiV6PYoLX7iz6cWs9+rUBOWl2H9LHgR9Bvkf8frB8tJYEdy6os9TdeC+Y61RBpMl1/i9bXjlaGA+sU3PFYkHbtHXrg1afLXEr4FrUzVFl+qFjBiWuVjIi3u0xDiqKC9F65XrgyeTpsFdOBYAV1EDe4POBThc2GluDOeCP7oR3CVB+otu+gq9HuqXNlWysp6zhN10Rrh64SDjPCC1g42GW5Mg97jb9QLpT3tTMOkvQ8uQU87YQJwtliCkzkpuArQKGzGKBwsbNkpUIAqi40OC1mUo1W2c8b5Ligssh/7kR+yIiz9vkqE7seff9UqCrJxuscb3FqalQLq8wvXSo0rjSXGACDHB4b38fgImTXP+V9UOQAb9THgJtFq1w1xpEPHeJTn5VH6W9ycxaRJsopUNmk+eYUiqZ6+qD3xGrLnjfGoEAdi9uH/ut0K0BEIuSRdOFh76UC99Q1Ebcv6Uhe3nDzbbn/7jXfsbx88h7OibGtmZ08d/kPxj8z8zYBOuf/Wra7jEtZ5McRP5bP5eSwIOBPs4u2tGqs+Je8DxoeAjd7GVkNSnfTRRJvPGJmp7qnIY6a8186vEgrEN9hVUptFVIPRSls0ZrNyyljThuHa4GtrFud2wbrHYu/rPKKmOMAJvmeriuANvl0GW/HOG8MfUD7F4OdLpas8fbHR+O/xbC7c/gLwI1N0bTYB0Bm/fT4H3oe4+MAfkcz45YW5r/M4ukYNAL2dHuhUVj3abGPRbncCONTf4EAnDfHVEKF2itAbVEyog28ftq88/IytK862AYCN6LkqUqoWteVsjHc5f+hfX5THy75wLIxfWsCBjyPnDAaGDtN2msakg23uAehInT4A1gsDOZPAzQLqPO0jCx1snV0D9topFOHy062HgJV2V77t2FrhZQi99/QP2+/8j6ft9/8dsuM9VJ1o2BlweGKnpGdjtnVntrWmGNioiyOUPSh5bm7G6vDyOw3V83AzvgErmTO0X0wa1duHJ8daGFMiP5+m3IWeWugYWWh5a8+tUWC1UEBcEXEmRlGaHhnuZQmf/cUjADiBaEqcGwGb4JnERX/qjIovAtwrrohETpmAG1nLsIPwH6CEjxgQDvmFz4bfF25sLj7iVomGtBHOfz0hT7g3Q71nUS5+BaeFD1jllnuo25AHOM0gZITnSfaqxTAK0b0dRLjGEaAAYCZii4bGZvuDP/1rKIC/JjwJD+GfLKzxaunbyQBhldRqfDOYpj4i4IXdzckZL0yTycynBFY0xlwMxT6qsTdn8tvw5cRz4t5IBDvOPZzz4YkblgTcTGSf3FHY3sbWHmtqH7Zt5Rl2vCFqP3Z3JWHopdgUpMefO2a//2/fsd3vzTNhny4iYQ7hWbZqG5wdMmljY0+CdGF2SX9LLJWvjsFlfQcAbDWmLERR+dIkZr0L3sbiI5r1a5gBsjpk0quRcmt1WqPASlBAXJDZdp3JdRKbXpu6uCceUsH/BkBnfNHT4je+AAaCKbSSASS4ByhYB5h4AKDQ6roVo0QelzgoBvAZHZHzPzYQf1j1Gs9kciU4ne6gSM7hQoBDG7wdk2+d9hf3STw10HWSenQimrrMgctAT4N19ZzFmRxemeEqZefXoJO0CcuqG7CUq8FM/gnn5KiYXBz0ieO0tp5NS+EFnpyhvxeYmz/GfhyInySCkiiVMuZbjB7hWVkPBgrH0jVLBPSzVxBBdvwGzbMVTp3dvFX0oWxXA+ZqidnGmvxxE+aO7iH78sNwbK7MtD4mXxtsSsWCwn2XtbvrhqUBNiLPCLNKPjpACdaMNZeSI1I/Wh1/9AKWJvkZi1+YfM2h3lHQWUzmXhd7Csdq2I7FNmlqfmG+a98rS4Gp/aLf4Wdla5aS0gVPJJLy8AqEkhjDSWH4gjdbAQIpentJ1xdcF5lTp8kfTrjgJ9JIGWJtlQZokVVSVk65g4l0YlTJG+0oDgRjw/3BZ6Qf8VWXDQF8hofw8zTQgmioh6WEZ+NlhpyacMp5Udp06Bi/Fl4Yb0DiiYljVasIfZucgirrJdaRfOD0dR13Ds6YLlKeNrOI1/cqfLFcbbXbP4D5+INuLu80WLVrmaiySpOqNtENS1rJgMsXKKcHnJtFFEe9Q1GVg27AugNxH5ez5zvBuVnGxs9UJVcMI+aTPABb75jl4vVXniiVjp5qtS892WwbCTPQA8gQkyIc48EdftuS/BEdNe/kSGJgcLUqr1FBAbCE5GOZc31wuMK4Kj7AJ9+W8MRFdqh2LNOEvcgoc/FXV337bhmnk3pDgICwCYhdpGMSyS5mDAMiOE6GA+KbOwuSQIuCMPAuS25aMKe80bJg+caSUehgpqf9iLWeeRxHiOWWmV2AiCoXkX6OW8dEsFzKyquywrTdWNkTbBQRkbg5w1jPjKD/MjzYiZiIz1BX8Il2wP3pdLEaOw31JgiEc3LoMN6yZMqv7wnEFry5j40OWWGlQgBcQ/Tys+7vxq3g3CSc+33DCnQtBvtbrPnUtwFhUTzp3kkAzvvt7DtfDACX03Nt4k8aVnP8iOPGOe5a3GVxZ9Jk9SRlYRWYyvmr7BhTLqqCm+PWggL1s4CcCXCjdqWqMspnoXkJSDiNmSJszA50+L3/9Xq4OcOWVZtro1NDX/v9y/Rnoe1a8upBOMnPEpIzcUCB7VifrRqLgnBspIqOqcongW5rh2sUWBoKaH4KdGR6ZOb0DJyA5lU7OAhXvWTKFWteOojCFaGIKtTFEaDQxqINRiAqM2cjgID4eZ0n8DXzTYoh2PBYFGvUEoBOKQCniON8yyDCeiRSyG+AT1aBAx+Br/TMbMvDu3Ba2lavu/LXZ2yUsA+An2FAzjAxpIaIRC3uj0DbyLBAURfgB058fDUXh0dRzYtx+69nm059l9AZCtyI12S4WFQq/gm+ZE2D2jWA7BHLyq2E63QpPnJ2YW319mz7Gc+sVAoXovA7rMfkNTk8u9zfs2CAlFRF/eWghnHpwCYluU6TiQ+/QFSVFufizCSqmgxupslrOU/l5/L2gsWP+2JibA/BcVDqHxyxF97AiqoQwvE7WCL80rL88eGqQnm5yCKa7KpMqh9cLxHI68tPgZsswM3R3mEbXLUcp1VJzbVKrVFgiSjApATc9HUcYvN/n3thjmSX4pfGZetJlyklY8mn5MlYnBvxO6TjIBERqwBzXzo6mRbJ24yjwGEipzfCsdnqXBwvhOsjUmgeaSYcgt6Ah3kWDgzcFYEfgZ5IdgVAp4yPAFAhz3MOj8oCP+lwftLwSyIT8xz0YliaeVb+bGgHdRjjewTuTwyFaenSROH6RHguB2/TvR1HEUUdpS4oEY8Dm8Sm0zbtxoCoGCoIXa1veTTrQkJw9CrshtNKqxz3rGRyLpVrQqnxVFmUn0jiNMiTdlBTtWny9Yk7V/BoRtSTHG1lhRuYdfMt4LtMSWWJSzSmPnC9Mikdi8YT9V5V4Ka0GCddhRmBZRIvGH1syqpqW0cfCsZE+i5Kd+d8y0S/8WLEEHGbfMRhJ87CjuV3XFo2fs9KHwwAALsFbuB2haqBEttV4FW5oTVqvXj2XEtrFFijwEpTgEnJAhxFzNPfdQZvvdussOIK6zgvr7B47J3HBjgOcMjPdV/irzU6D8yA4wF3Jm8DAUs7AVPv+EYbgIlEGmhz4IVNXBp/ng1KmxT1GB4eQhx1lkNxVlhbtKHoHn1zvwMeQFDA7ckHvJRYJLfMzdyz8yq4Bz81cGlCZdBsRF+jsSFr7jrtIi2PRD1LewUW0gFAMgkf6mt2vaFMypBStOctvzgJm1liq5b02Okg0UgUMNcPRyobHSFAILQIrNDoD+oeG+0H2LUD8oaobx5twdTd28sYWDVJgESfqUnnZq6ngJsDGwDGcoKaC2opTpHEYOiXiYMTjLUARAJuEhs2c2OmZprK3xqfmk/V5QVWWxyx5kE2Yrztnj7fx6Y8bN29g7a/acjKcVIHvphU41TWY6a8wN/WLYSzJdO+9ES9fepDXbZ5XTHE5J1plaCcXvz+nAXc5AjcxOkpRegSYmHZ/gHr7hGL+GJPiWM1bMtixux0+YX5rn2vHAXUL5p1if2j4/CzcjVLRcnBpl2Iz5f97vOlpPIK6259E8slmWkDNGbZ8KeWH+ztAV00E/TilaZ1iQU1By/IOL8iftDLKAs3eSBNwaALE+fIaPzK+IHyZeOAQ+PJzwcXZbUlMVR0sCMOMIBX2vRVf71Ns5FnIO6KIPrSxp+B6buiUKsLJbLy/vWsVMZsCb0ixF/ytpwDYMpETDYw3I5eEOFmxBVReV7zoF6z5ZSaa9SXTRT3i4CtavfRI26UgGQWnCnn1qhG0HMERe2h/nbrxxpsoPsY4rtWrqi+GtvLVd/Ekmajta6F16d+cymegj4OgY3asTqSrKpcH0dcHIEc5lCKOTciysI7ragw266uK7BvvdRidZUR+9qLbfYHcG1cGbZ+yIrqMq1n4dkvuBfAC9YLuKkrybKDz3baPz76tv3qT9/owEaDeCWRa9iozm5M1HtHrbgkjeBxwVl9BXUbs/Z2OF/+279W8I/GSPiZqRrTjSOdSyZN92wyz63ds0aB5aIAawabf3/XYffnUlS518q6b7GW099hvsorrxa5ORY6BxJxM1ndze3OyeF8OiKmnJJLLY94Un1d9QTNfBExUhH3BGL+5FsZr4PXJ3wqnId8C1y48nB4TQCJf0JYbmaOUvIgTgp7IujnNKJfVIn+ziZvY/jEnN8qTuWweWUDIio23oNoa6ObkA/1n3egFNQy3GjD+oU5x9sQ/lzMt8RMJOkAFZbvIzbYHsDpOtcLHRvBihaRXhqWb3rhFWcpPQNl8artHgqjt+s8ASnfwkLsbQeEgbl9Cus2a7tmK2cqvabPKAA1gS6XSzEYZ6suUaU0lHRlhDQ6KqHspJSKCiuP8DMp8xl/hOBAkavvuKLWvvUP563wZqJYf6fbDh9vtrJSfN3kpaNSsjJAQkND1lmdcEY2XJZjn/vvb9oVe2vszuu3+qKihq10X58jrpYUrgsrs61xWFJ45hoVd4uyjUQyP9NhUdheWTg9XB2AbK6xNtd1UV1puvumOxfcvfY3WQoshoazLabJlv/uvU8bn/RaSmpusmzEOPpdseEmi8EJ6Wh5VSs0jefVZDqQQ7eIW+GbjcZ+vJs0pxV8U/oo2UUbrHT9bf4G2wF3aHiItQHQ5Hkumqxz9a3EXCokBBuqojbFfLgYzQ5uZJbu3ClxvScBp6mVC65HcorhAEkRGvcfcG9yARRK0f42G+xttF5MycUZicEpCbJT2Xy8Hv4noZy56u9ZT/kT50jRJ4VlewBYtzsXKYbIaaDtVRsdboId1UNx6CrJCAZRjZSnMyN5KGojGsyustKSWisseQ9x0vZaa/3TfEtMGKFJApwLqdOUKi70p8gzR/Hua0aiHzrWgc1Cy1qu56hnOv0wBdwsV+mTy9Fk0FuHENeV+7AeyM/AOR8U3x2xf3r0sH3yI1fY7Zfk21NHemxDRboNroBoSv0PZmCNoLJ5Y/bZ33/evvSfC21PXcX4G1N8Gk1u3BL/ChYSs7PnWcDOxCzjsjTeBscsWzSlbAc3lem2/1AbitlYm0UAjasiiaIrQbFV0fiLoBJT+mbKz1kbMOuGNeuT7/KLEFEbBByU0qprrKbuAfdQ3Hb0m1gRXWo129/LnpyB/g0BJrU0a3JrmsR3H20yEnuEL4MBsYKOEcllnZRXtNWqtn4IUVClNZ18FOsiNlFxV+Yh6gryXehfr/Ckh8UxSs/IxTrqjJWMXoGe0VbrbH4JMILysrghM9RNIC420g2YuRLF5Wo8G79KgMeX4dxs8t9ZgJ6C8h34zbmUNXgEvZwm6+8+Y/2EdRjoPYE+zCC0wq+PAzsBnsQ158J6Tqr0pB8CZ2mA0ZsBobdyDJO8/Q0b4DM6goiM3xnoS0UyASt4iR9FjDcKB2EMwDM61GIZg6cAOBXUeY9FKqh73ket+fTTiCWfpv3qm/nUZVLFlvTHhF7N1DG3pMWmLPNVAW7UmnCT3ruzxm69vdSeeafTyjZm2f98rMFuuWGr7a0rtqee6bBMooUHgzRlNEg6Iy0jCu+wtSRiB45328//+8ftz//DPba7rpzxqTcntSNYbJLOdBE3hhwY6SUdOdVpthPgx4uA3vvCpOjomQUZ9vUDHa6YXYLoby2tUWB2Cki0MMCYnp8Fj/JUHCB5oeVo9iLmcXV1Lv3zaEB4q4OVEQJHXmvVhB+Qcm3jiUesp/UNNuV6nNW9z6q3vgexR4UHlRzGvFpv925mK26NOB2eRwJFAAZSH87AP00xPmTK19+MgvIl7pBPYMIVWB1AJDwT1mfZvimb+g9Sn6H+JsDNTiuuQom64VnO51PH0BQ8rFDQTq2o8gNUjNM/Abv2c89BJ0IyNO93/zzZ+RuxNtvsgE4iryy4YDkF1VZWex2gaACvxmdRpD4K0KnHWqsVrpbKER21QgrshGkW2kA7WaGJy1a15W6cG3ZZSz0ek7sOkoNCWhDgk6NR7vEXSdZft1fjtzhWFBa46BhrBuy0W0bueSsqvMYi2+8P2gQNPKSF7x5hfZbxe5qmC1R6hG6q7zEJ+b4Y0yoCNwEFa8rz7cfu32bPfGu/1dyUbe1tw/bgY0etohLR1KYsFw1pWE7TJ8tCf4yP7Dyso63rsu3ZA232k7/xHfvjf3ObXXvZei9/OZWMBfi11sma7E9ebLbidRHrRvQUhnoXnXqZcZtRxD5+YNAOHmm2bZvKloVOa4VcjBRgMPGWnZ1bZUUV+9hYcACnBXpK0txDtYA/8XkYTkZ+R/F70tn0GtzDbsamNpHw4pRMkvrJs4t5PKkyluMmqOib3Sib5PVWvfkuFGT7ADYPo+z7Nvt+gZuGNxwZcod18umSW7ghMJnuOIJYCY/B+I4Z9d1T/QFR+MrIyHMglFu0xcUlueikjOB1uLX+KTb8TQCdW90XzdCAQFL8ueVo7rRlsOWj6NnZ/BoAhFAQiHZGMRPv6XgbDjN1w+R7vKsF2DBTl9l51Zb3Wl7hRsbUAfeLk4ZicgQzdN0cpV1DBN5sO/uQW27lF0O34q2EbFicFHFZAABAAElEQVQPXUo9hENe4XqAjmJ49QCuzjtnJ4pZ/PBwBwAe8C7wCGcnGKvKVuJA8byVBFDQY4TLVr7+JhvGSqv55DfceisDT8+KUhFzSzL5FGKsi8Se1BI+mfFvf90MxDo2cBIWWz/1vNWqNt2MTlK7K5PLpHmi3Hg2y/E1aVgEah8ZmdDDraBU/4s3LQm4WShJQk7E++/cZRtuPmRvdwzYpqos+9prLXbTtqhtq8i2M11Ry5OG7woltU0iHwGc7Rtz7MWTXXbdrzxqD/3HW+y+23bGlZmCQeLryRLWM8z/0PEWs+d7reymHGseglND/cI+kHW45I9oteEI8Zw9cMcuFgcWEm4In1/CKq5lfTFRgAV2FFZ6fnEdIpP7GESY8boFjzZnfbR+60/82L/DayzvmMIORqNsIOdQmmyOK7HOn/sTkCwYxL7Z+Gjm9/iovqiICrnY+KClODY1W+9lsx20xuPfZmM/wts7m6QromZAt9N27shXrJT7SqqvsMoNN1tJ5T4bJBzC8EAHz0mnBNYA/aTNVabX2flwLLBGUurtOAYIeBkHgWcASfdbac3VeAO+ERHIw65/55N+xUinNTET3ZhTgJFnAC33WnXd+y27qca5K0ODLYw9uatAZyVSDMCuBQhe6abyih7ecubxYBTQ/gkpjnQrMLHOxHKK1Nd9EgVqQvRAH6cNise5BRssv2gzYHGjg6Ri4lnJ8aBMywcRY0XhJKlshZ1wKzbyE+dR411mxdm5NdDxWu+/xuPftIE+HA+K8wMXaEzyKOcASW9G0wJjDj8SqBdA4pcOw3GLqgWeh3Dgho5OzwuWn389IO9WwFIL+SoCurbjEFjpuWVIvhFMiJ1oAjSl0ppuF3laEnAjuiyINqIsA2F9dZH9zk9faj/54Wcs//35Vk7MpBdPd1sRyrC5bNThxr1StFf54uCcGxi1zWVZ1j0wYu/71OP2+7/Vaj/xoSusqgx/PaSl5OLI66jMPfso+8voJdmmgC0qHJNIH9WzGY/OVZfk2O8+ghn7R9oQo1UwkVdGOVt0CXpZR2tpNVFAwGWMt0qJArRQt9Y/61GctdhJ50CRpQNlSVj1nMuUZQJOLTNRiM3IiFlm8T422t1uAixrGUtTaIGFtBD/JnAztAn1dZ6E+9BN+RJ1LSizhVQgJc9onENIqCpgc43VbrsfPZConT/+EEDkCNek3B9shyFokYff1nPfY8M/jOO6HXzwg8N3ZnWh65Xo/kAXAr0OwID0TLpxcifdGoGjYOPHK3nDc87VKQYkDWGx1NHwNMXljZeXkgbOOxOgKhXsRgwnUVTFhjutcvM9gDnCMRAtXG0XWIjklltu/jrGQCZg7Q0XA0kp2rcHJ2pYMIIrgT19PHExLYcj+RHCcWDbm9bLpx0HhJEcFJHhGOXCyRFXK7+kjrFOWBpCSwz2NVp/bwPf520YsOPeleHqjMb6rGzDR30+tNR/D8Xlo4xDPOTLd49EhOMpfoyvFS1uUhdlQvAnDnDG2GbVz36OL0VjH6hHpFVhRWWXO+gdOv5Vmi6nhssLbjTP05nH+gzhMToKyAuUz8cbd9EeoP6U+qSuXkgX+XMMDI2bD969xz71a2fsi98+azu35oBu8aipUaOblilNXUqnFi3g0ApwyM/KsLp96fZr/+pVe+Ll8/avf+Yau+nKTSz+3MBk9nx8kUthxbWKkecbh87b//5Gg62vjVh/OMcTilGdZRpels2Eer3XHnnqKPSs8M1qJQCO6qOPB//TwVpaNRQI+kajFV9JcBf6iN7ch9hAvkXc+oDFOYMNJxO2daZAjQCOjiNYhqQTCJK4RWlZdTwdsPO1tkydQ0k1FrFABLf8fXijHWTTU10yWPhZ+Zdz+idV1dlvEgUQRSVwbBqOfQNl1MNMXebjuPiD27Q+6AM3QP0wCIcgOnje+tped86EuGLpWXAVAERaU6Q8rOCWHvvJRVYo58IX8OvkoPNtZ59EefVHrHzdjRYlP+mgCFBNKpenljXRZplBy6/PEICicvN9cJeuBXyUADQQFWm9RNTTjwVUVzOgzT05R4N+j695M9dXoy0YvxqD3lZ+jyD+GkZXZrDnFObYOXhYLgaEV7roL7cI7g6fwvI9AM8hBzhDWGCJsyMAVkjIB1lkdTa9RN4RwJliepEAMlpug/GtMxy5a316j5+CrBJVAUE50q+pfATu6ztGXTZYccUO6LHdwWnA6gly5aHUpHh2GlcTCQqx0Qbip8AhYQuhLsS9CuyMUlyHiYKX7WgqxZet4JkKEjdCHA8pvv76z99oX3z9ITvZNWS1BTj3A0hIHXapyS4MJdSXTV1CgC6z6mEml5wIKoV6Lfru54FB7t95Q549jO7Lw9992P7Tv9xnH3//pbZ5fcn4xFQevoBNHmVBhvP4G2MSZYC0u3qj9pdfeYMn0ZOIZFo39NE0UxKNwo8wVg8Ip3pvtv3zPz9oN1+z2a69dJ3TWWudaL7saQWKXPY2XmwFhn3i39ps2SzTcxhHWIG4TgS6BUShHh3NCD5wcmIcp8UYRH5eb6U02p/XwWKSuEjDbEqdZKcMw8otJs9lepaquoiBt/ViuBKuYwNAO48oqheOTGAKHn8TEaDxD6AmYR6mIXbiBBaOmBiP4ismTRuk7tEMDzkWPAvoC/pJ4C+c8dxC30nHRCIgKSmXb7jDGo/9E7om8nclWi62f8hiMQnuhZSLPS4V3KeOxpfZ3E95jqPUURyEEfSSNN5El0AxOtkCJ7dNYqZ04lTp7Cim8kNwaAb7UDbuPAi4wPkefmukZ5adX8N3peubZRDcUxxMcWnUZ6Oy7EKEKC6RtgB4HWQmZ34TSfVM/K0rDrL8FvrPxU7h/cwl6aX1Hbe8gqvwSbSLF4mD3FLqZYR3pfybOqqeF8SBAtQoTAYXKfIimmuzEIjVa5arC70U0mfyGEs6NyFKIfh92yvtid++w+76me9YZ8aIVeVmBgCH/BeY9Yx1UJU1MNW3VXj1Taf8QRT4YkIkJAGdAlBCJuwamYTLY7GuC9wIPOi2BvRwtlTBWiwftV//D2/Yf3n4lP32j++z+2/bYeurCieAEjerjfNNWrtEFwEb1ervvvGGfeHPTtmOG3OtEWCjk5JaK8kxcYQ66z55Ku5hLa3USWTFn/2jZ+3//H/vse0bSvxegUkNeLV9yZPKCD/zKCwCp0Cfpa7icCyGP6BpWGDxuvobt28w86j8RXKrb5KY7PpAgNCKTxQoTGrcqREsyHBrZJ0TvInKUkezhs02fcjjI2nrDZ9fSD/r8YnEPNQY9sK9AhOXVvORb2IxF0VVo7sUi/a78nCv+zaRkz6JljTfArDCUTAn4m3SPIwOD9u2LRusprrSTtc3WGNzR7BmOC0mZoHTX+foq0mJc2Nwh7owuc4hOGdJzVVWtv52az39CFY9oqXyWDmaiiuicAU5+ShBI3JSPRUJPFDsFW1wgicxDe0KRE8S4S2wvspjnDhs7Cglq/1QCHCFl2UUhXsN6yfCKGRhsp2Dnk5eyTarQvF7aOAcIEh6PBItTdA4iN01AXBEzZjTdLwgPxAknUiJHJyA/rHBMxYpvMLFZRmIzzzq+8QDKTvSeNMGpDHnYRP0e2pyAwCdnKDW1Fsupt+rjnMzTrw48e+8bot987/fbh/49JM2sGHYNhdFrEmObkjTdM/44/M5CLuyGE99o7BmTh1HX2CI3AniOV6KJpZYOgIRBYh5aiK2Pi/TY10J5Oi0UhsavAI8267Ms1Md/fbpTzxnl37skP2rH91nd9xQZxsEcuLAZmKyatAFz8/0N9Sx0SAVx+bB77xtn/m9V23jtTnWAqLJB2E5oNEApq49VKgHDo9aUEK7cnPSAWVptrcm255/qdV+9fceR3x2rV21t9byc6XPwJDmOZ8E/mv1/BFpjjfg5r2tgaPJy0Vqa0knRtbb+jqiJbuy4OTctdCO4Pp9LEZdxkdfOHrCDgx/T3525l96bq5nwryVy1z3zlzS5CuJ5eoYdjQ6GdH+et5SGf/xjURfAu5p8YVdpctKxPtB3/5h43EdBeinMaTLKUniUKSqvSmp0ByZxFvOxl1cdXVg7s0bf+MJKQ8fglYSRQXAeRzYTDPxJe47frTdPvXxD9rOHdvsH772TTtVf97k5DSWtE4GdKMsAZzWc09YFqbS8qUjrkVH04v0tbgQK0RbtZl2RLKJRYU4KkqIAum+SDnYIUe8Xg5qoHjIraLC/IovtHP0xMyXNaYSX14AmBJ5UieNNeknDRKqorttvxURwVzcr4GeY3QdStvSm0lIkwAOzyuAY1i9RMrqKc2KCREV40CzRBMpvc8ysNzKyUOJGtP2cdFhQjkLPlQlKEI0VQqc8emEyk6soV+O/5npfOI9F8cx4IaGpjTFKbrIfFUr0V/98P67dtn3vpRtd/7mU3bsdJ/t3pzjJs4dYqHwX5yThSQwiTdfm38+KOBIE34Q0CH49Mc22703bbEtcDYKiFSuOvQQeLIBL8BvHW21Iyc67IsH2q39YVxuX5phZRWZVpOLtQMZdlEnYSBxccpzMq3kvoi9ebrHPvWzz9qeO9+0X/v4XrtTIKe2GNHXRMU1sXy8xU+FV+JV9DfYIYDXcy+fsj/+u9ftn77bZOs3oeuA/KycB4/3MIXambSH+VQweXZnW1lhJqfGrLcJ9PNqEH7BdmWgyJdl38aM/duf+rb9/Ic32M9/8iq7ci8KfDR0KZWgvbN8XKh14WfmnvM7+DOG+OPnf/R9tmvnNldq1RsXS8nMD854JaTm5BuUn5L8WZypP2dPPPOCtbYFb8reJ5Slt21/A65+r7OxJ9oyOa+L+ZcoOoooqKAMBVbi5OhNVRuLU4c/GhvB6s2dei3CAi+gD/cgNpGp70RSbuFn4uz8jrRhiLsR9M/8nl2Ju1lE2DgVCLNqi8y9BxBFfQuxhoANLxC+qYomSmpTMOene6Eo2VBs27dtwSdKobV2diN2FjDyB+fxhwf4P4yibhsKsdXbPmDlss7BOmigp546qb6JfTaPrBdzK4NGG61MwtW/skCKYTGWjmJ6MBenb6jolPqwBfGygoHsNElPy0ZXaaPXR0rOseFuiwBupquVAI6LnjT2w66FNoIvAYSaeGpCRCXiCXJAfyK2j6IPFIlU8Cmw/lHEkIiCF9DZyvTCRPHBCwKUlcIz4kD3XXPhnZyhPuPcm2lvuKhOLgHnJqGHF0kKgQqNOX3fAQfn4J8U2G9//jn7+/+KpvmtWbaNzbuXEdTBpq/7wChJJWEipVJETBI1NfaO2LlXovbDP73ePocy8OV71lmeFHCnST90LyaXOM37dTgJh4+12MPPnbK/+N55a38D8LAnYjsJ/CmRlUDOAN8CPBs5l3tdpr1zts9+5heet4Ib3rJff+8Wu+fmOjwcE6ekAIVNGql2Tk3hqdN4IP7Tv3vJ/tMfwiKtSbMd23iGsXj4PLLgFuJeXVFgH7y/2q69pMY2ENSzMJ9ItViX6fkhxCzd3YN2/HS7PfXKOfvifkzHu2NWXZtp/+vrZ+x/favB/uifY532kSutrAgdCy0+01VmauUW9Tts2SyZhDRhwtXW1Ni2bXWu0JqyiT+laIEbAd6cnFxo0OE08IVBtGDxysjMw5x0veXwebcmWZDIX4pATkBn9VP83Y9xMQFwOB1XPNMGlZ5GHGo4hZqHuj8VKR29k8Ky3Vi3bPaNJhV5LlkeajJtl4M4+aiRJVPTqe+iPPwO52TuPfmtP3iZQZAhgAG9gm8B7DQbGBq2267cDbApsobGRjvR0OovSiMOLufbAs3lCGbSp/CI+wKilnsxP77Lzh/7R0APL2feV/EFcb5ZL+j+gFDSg1HASemyDBAlXHUMqjK1LuGrx1LN+imNoPgxxnIku5Q+I+o3+j+ykJqtdHF0Q1yfOPIlwJ0QiPHSOwkeaTyw/aIDJGeOETg3JbXXQxPWFh8TU+kwpZ7z/OnjjWeCfUYvDBM97z3CxB3C5UBfF56dFSfrXZCWANyklirqhGDBHLO92yrsj3/rPrv35nfsZ/7yTTu8n5ADdZm2rRyFR25UcEvpyOhdxIdGOD7II1hCGE5wSypZlCW6OdbBAn6MQXZ5vv3Pv7jaPvyevVZZqoGsMsOH/af/0YavgVCYF0EfqMo/9+E35p/9WKs99twJ+/1vHLcjjxPx9oqIbQfQtAO6+O/gq4cH1xVlWu71iNWIcv6bv3vAfrPsHbv/xjJ7/y2bbC/6RTWYe1aVF1peDhwZ9GqUBqMj9sY75+3f/Lfv27OPttiOq3PZZNPJY8Q6Xo/a3R+psp/+4C67DfBXWZZvOVhuzZSuvnyT3Xv7bvup0232nWeO2YNP11vOBsx5aevnPvOyvfh2q/3Or9xqdRtLvP1LC3BEX1Fz5qQ+ENhIZ1l4+LtP2nP7X2ZSzv7MzLnNfUU59/UPWEurXKoHXCx/Sm9nvFUOogB5HhFDGrL5SevU3FkHd4RVv3BoTZ+D7g/vDY/D7+mfmHw2mfIS8tMGG8PPTQWbXwks+YlFNqiE/01YyL0wrSDoKamPJDLxrYg8w2pPrlCyv4JKqT4SXeQWVtMfy2FKkGz9prsvTkiAuBwZdjS8iHk2HBs2sKnARk9reQnWNgFCgRuBkMC0/kxrr31y93ZeTiJ25MgJFLZ5gyPf6dak6WpywTn6TDoj3S2vYSVUjnLxzTilu81aToX6Nxc8sXQnaLQ8BWdmy5vwRnReulEsbmQlYN1KWHN9HMUH0eLG0sKakp4pQCrQwv5Av8xVBwcP1H8y91JruJ4MeDiqiSCNzgQbb3BeSs5ZRFCXZVYOfosokE+KkwrVJzHr+FoanBpzYKNgpAG4iY/nFFdjObNb9eBGxAj6INhsxFn46Y9eaXffVGffeuKw/Z9vH7cXv4cOhKDztogVo1siXzji4gilKkmBTiBD3nr7EN80HQXU5GTYVbeW2E/+Up194O7dthWrJqUJ5drgWT855Y/moAazss9H9HT57hq7jM+PvG+ffRfQ8Ft/97Yde6bLSi/PtirKcS6OyuYZHWcBQLZdnmcD0Zg98mqbPfIVnDoxgfJuyLf3bsWvTwEOunhO3PiO7qj9zUtYSwyN2PZr83yzP3pm0HiVs7/6wrX23jt2AsgCvzqJ1VTeLW29Jgd/+w+cs/r6LkTGo4CfdJxHkX9Brt17w3p76MUGa+gZtn33FtiXvnrajtf32V//jkJKBDGzQv2gxLyX+1gLxgmUKrsGcJzlCiDT1GDqxJ3mlrlOqV+LAJaBKHJq/8s8egCLDgB1XPauIt9NSW/PI4NvYxYbxOrxlVBESSCFt3kKwBG7fRSajMK5mXMXSIpgAWVlmtvV/HrgE8ZfT5J6eMVvkjfhYVmeOOGgyZyJrRw665MBiDbEyDu2bdUiY09+/1Urx3J0WP4cFpPUZ6xBCnkgcVAJDv7kxK6j8QWWHunfLDL/JOvmY4UtPhu/Mzn5VW4lNRxl/RbnhhSCmhWbWxrrgE2ZpeuFJgNvyOLg6LV29jrF+xAyyoZq8r0XPhtMKf1lXwPYRQfa8Oez33o7j3q56vtUJc/Ju9epOylbvSyGIRbkMVoK1kFKXfmTClzGH6kFNz4wlq72/jZNpwu0bEJn5TM/dp19+L69duDt8/bqwUZ7BB8zTx9C8x6fOI5mJH8SeJZSjrRtizPt/itK7a6fBYzsqbZLiGO1DgXfYKAFwCaZzVygJuQguHa7iuFNf2NNsf3Mx662u2/Zbt98/LD9yl8etI7D/bZ1ezZYKh3FX8AFz4q71DA4hqfldNtcmWHZ1XpLGLP63iH76rOIt1R/h/hkTDT0GnzYZBai+8PPE4cG7Iffv95+8zM32mW7qp3YAdAKWtHdF7UXXj9j3/v+afurZ7GyeBvHWJooAQuEvDnu4bM107bgYTkD8VsunKyjgL49l+TbSwfb7dP/7nH7q9/FmmpTqYO9ZGiydL0e5FyYl2MlBVI4XNqkvonxpgyFLkiy5EgnOF6waV1w+SI/IbAuS54twWanQU4SHabS3GkzDnBgtwPMFQxynHMTPqjvxSTKkEnw2EAzuUzXI4vJfOmeFVgIrH7mV2eWEPfwfO1tOO5D16altdUOHKyHQ1xu0UlKsAupO3Vh/Er/pvX041a74yPuX0YKxgM4b6PTIbHvgAvJPOlntL1mwPmU6E4crSgWUhKFSky14sBmvBUCN+LeEgyTEBB0ZvBJojvd8MPJKIgTT4Al2XliexieYXkPAE8mfWIoUouD1dt+EG7f62wm6Nyksi9Y/+WfZ6YkcbzHL8OKTJZk4d420/0Xy3l5fUptXbUDL2ESsNFerYmg49qKAqvF1Pqum7fbz31iwDp7Bq0Ztm4X3wNEwdbGnItSsDg+leUFVoR+S1Ehjpy0ksSTBqSQ+UI2cecOkdVEncw2A7z+2Y9fZ3fduNX+5p8O2O/96VHXk9leErEGrJiEKOUAMMpG2kYgTuEvqS+UopScnc/bAsf896QJ0g1IK+KmI6/12y/90g779798q1XjBTl42wuA1RCcmhcPnLU/+fIb9qV/ZLFicuSgcLypDmBEW1VP5aV89d0HK+t034jlDo5YhOs5fE70xWz3llx77rkW+83PP2t//Bv3Wjl0Cy21eGzFkvQ59JktaeSpfVO/pz6TeF3XQlqH56feP/GbUTfLIjFx38V4pNZr2KDDFV9YJSbR26tAD85WAsImNk1zEeqNjcK2xx8Jw9nvCemZeOtCj90k+CIDlMEmPftYnY4eEkU3ohv3vvsuxUw6044eO2kZhRnobc+8MU2Xz4znfOymWz/O7FrPPuX+byo23W2NR/+BMuCKynrHZ8+MOSzyAvlTh0wAQy4iKflVGRJwlchN/7SIrnTyOiCehfsmZWIp1mflEJ8KAJZs8v3Euz8+BlhbA1wjlYF4PgKTiKMycJCZESlFqboLH0Q9lFeTbDFJ3yfapmtOz0Zen7SBdES6nO8GgJNazo3ILQI6oZKm/bxvZE2liKCQcIOPgAgqEM/os31TEGtltowD8VPQiQ5QZrs5iWuJdQrBwN5tlfZbn73L7rppi332v7xgB1/qtB37ctDFQcoEJ0VjPiSVLKzkgbk3YQTqGqGibCOitiNvDtiv/spO+/e/coeVIrZS/QMwFozYFszOb/sXT5od7bY9V+fbAHNIjvu64AD5wpGQr5qjvIuEqEjhmiKuUj0AZ++lefalPz1tV9S9bJ/79M1YCghQ6s0+uN8fWoV/wtpN/Z5a1Zmuh+en3v+D8Vutj3/ihJATvVFM39PSJLaYZnH32/VSADcrRnBHjw0kaulCMC71a7HJHbgtNpNV/rzWIM0xCUB2bq+DljF7/a133Hnp8LBUUaWXE++YRbclg4CdB1CO34B4iqCQm+61phMP0m0z9POiy4tnoDYSfiIzophY1a7DFsXs2m2LwkUoVWUtKp9gxRRHS8r1+TjYU8gI0zhPkqOivpSmRPAqCVpI54dPodBPFH0pEEEIhjRiYw32ncCL9BmOZXI+zVxbRHuCPTIOtGbKh+kajDFqLB0wFOPF0fGpPNMzq/x8fHtLXS0d/Kcuuzlz0oTXnNfcUCcqTbcGJM4dPbMQLs2clYnf4AsVxxI1ZUHhe27aZt/aUmGf/9uX7Q/+6JBtQRcnC2Qj/RvpBiVuA4nLl6Rq6wA2x9Cx+dGPbbTf+MVbpwAbFRg8IfHan39mn/3c//uim6LLm3Ni5ybmG6/mpHJ1TvUQ16gJkdmOm3PsX//eW3bTNRvt1qs3O32no2uY19r3u4ECArCIpniLFzu+eusDBA28Pj6htOAHoy38VouDY+YgC3Ju8WbXURiVjoI2ykWn+KgNJ/ii81u9GWhNGgbQ7NtYbdVVVdbb22OPvvy2bS/L9fOquThpgRnvdLM52bYFPSaz4NYz37Vs9G+Kq64kNEE9oQmI+eR85Dk2wmSLuuA+1TuGz51yy8wptkGix0cR/xj+lZIFDRdkuRQnnLwoYBMiIp8xXVC207rbD1CSLugjGs6dEgGO0zUOcAhiAhVQwkd8mV20F2twWYydIGvNmeTynrv0+d4RtEsAx/UaERnKBce4b5z5ZrcK7k8554ZlTrOQpumzfElFTn2z8WHCn+Da8tVFJTkFADABajbbgnn2f/zVO/AKXGS/+Juv4Acjw4ox1ZbISSBk6pDW7zKQzyn5r9mQb7/xSze6JZeUa4MFLmiP2hZycS7HIR9sFrybEu8KlDLkcoLgvvn8lfl6iXSU8kftC189YJfuqkHfRd5CtfmpZQtMYSPHOySeVyLyXGDWa48tngKCLwpYOUiEYgVhjGQXwSbPT24q07cy3e5pP0YE6zbPZ+FvoFpgo2y8GwgauR1dBGJMyaJG4rELZsri270actCUaB+I2q07t3q8rpOnzvCWgVIy4CZMgcmx5iDiQr1VLzjR03AgRuC0NWMxtW77R/BeHI9OTSwviYmWBGxQpsaIwhyMwsEZwEGerJGW8kVzQSTSOgd5pROUSQiGoopLUHzej2+gUDcpXMjmzt3Xf8eK0sEhUwEcxLjpY1GLFG2z7MI6zPTPojT/FmQPfEvNnWuq79DLfpaHnRjB9N09abODuaUY3IqxuG+cYOlfxPqf6mrPkV/KwY3KS77r56jdIi97N6xwXwgMaFAIgORiJfXzP3qtrSPq+Qf/xVO8FeDwC6uoEOAkNldLlwDK2KFh+9u/vMFDUTi4kEB0hpQhORdelaWaEgzEGW6c47T0gc4S8XzXlmz7P394xj7+wBl7AL2m1KSwQ8Lv1OS6lksKKMDmI2VYxfg5c/BvfSPyVT7JrLVhjmHhJEshVxDl90KSNu6RkS5i7gDoN93Om20vG+FplLlRvE8xy34h9Uv1M1ojNLeHeaPfumWz9ff32yuvH7TS9QWu75ZYnm+W6iemT7C2LHQeqW8yCC1wDP2bp6HzXVbBp/HYg650HCDa1K7kUmrNiodcGO5vhWtDuAX5kFngOEmky+KOQxoGa3U2UclL4FgWV14GjXFHAJdJ7hHOH/ka4xJLVX91TZ42k3VwtOXCVScIan75Fd6/inwuheL0jHz2zuTzXVybw6fVdhSeMyJWtu4GD4HRQ7BW7xfVhXEpU3Xp1eml2gO7LmZzCYtd4m+9Ly8JuAmHyhLX/6LKXm8noS7OB/C4/I0/JPL5rz5lxTVwWfBbMyAdnHiLNLzF1TlybtA++olae88tAbBQh4m2MjQMaMyi6JNBT6TZuUbMlF8dsvz35lofisoLTXoS6bL1av3bmYbJ/TG7/fo6d2zodVhEB+tRfYJ6LyIj8lhLS0MBORUb0iLum858xhH9yWawOK6C2qTNPspijyNK3pzdPb6DmnfneJEYuwf/SpduXu/6Nt3dPXbw6CkrJtyCwMyFSZwXeYfWG7dWDW3K86eN8kjDG29X8373vl267jorXXeztZx51PPmz4VFz/NMkAN/xQFAhys7f72HXOjvPInCLvpc89BjmWfRyd3uLBrRU6LYIsSwN3gcLik9D8BRkSPGgtKdhGLYa8Ob77HmE99gHYfmovcUUDYbtbwf9Rw3peM2obj2TsspqiOizEuIv2QhlUu+qdW1SZIAwW00R23OJFgpjpUueFQvLjH2KPmHGwc5F9y18ie8D6ijhBbhfprSWmmazX+qpbQKqzIzLWICOEoCOF/87eut4R3i0MAFTtSPEaaIyOqsccx+5P6dVlEij7liRwdzSvmEHCEda7A1tffbn33toNk1mQbTxYN7ekEL/CMmkDwsl1VH7E+ePm+Hj8scl7kZr/8Csx1/LBwja+NknCSr6IDxhZWURAgCGMl/MIGWn5aUJEYGY02Lqu8IKclzdWaiudwyMGJ1mzdYRXmZNbW02KnWTg8UO/t0k9KqQI4+euUJ1pb5tVJP4XC04TmcuJ3BPPw6Kyq/jCwQh2vjX0Ty+ngf0oO0UZZ4uUUb0MvCxxciKYlAWL0WUcIiHnUQzsIL4Eon5E5J9fW26ZJPW+XmuwPv0icfs7OH/x6vzs8iuiOae9tR52xUbf2AczkEbByYTaJRIv11HP/tZRFZCloo/lTZxgecM9QLwGs/94xvxItoyZyPJtZqtpt9DM064OhRxlsMTk5sRNycZHOerdTUXXOKUydJSbR2pGolSl0N3+U5hQBH3z/yvktxmtdpv/Wf37K6S3M94rk2e4WEOIFJ1U33luN5eKtTRGMulE0PYvYdgdsjMZQ69ExDl/3hX75g336m2Tasz8Iaa4ILtBhySqFZMbPaH+q1tw41En+q1gHWYvJce/YioYBvlitcVyaD5sO7PWlTqSrMt211W9CXG7ETJ8/Ix6inZF4mdI/yYElxQBJwcZKlnFaQdPwJdaFgLP83H8aD8a2ISTpd78oBDnnPJwWgJnhCuXviQKAmgodkOWeUt++gbeN3hHcu7beABv/ERUrD9L6o6ipXqM7BeitGKIi2s8/DyXoZ0+x66JlFnQtcZNRy+lEfjCXVV2LtVWBt557GpP4YdRWgj3CvQFoizYNjtlrKivKBo16yh7h+t1p+aR2BOQ9Z08mH4s4e1eRlpoOKVFI1x4vmR2IT/IZp/vh4A+TwnTYurkrmwWnySsEp7Y0CM8HXeGPWwE0KaDvvLBzggC6zACg/8eEr7MtPnbV3mnqtAm/HUuYFT5g1x+zeT2I5UYEclo4TsGnrGrS//+YBe+XtJqtbV2i1VQXW2NJnX+H5A2912cZN2dYOtyW+Ls67XlMf0HB1x6g7MuxNAob24RNHHplVn4WwwafmP/5bBU2MyfHTawdrFBinwMqtneNVSOlBvD2KPj8UHbaN1VW2dfMma+9oh0t6yioUAdxX7WRLFcDRGi8rHG20Eg8mSTSBFzbngZ7TbNrPWvWW91g54qlhImTPJ/6UT+F4nSdPZ9VjFH8xBIdE9DHU14h/myaKROy2bBOfOtDG0dggnJd0Qh3scWBTULLV17PejmPWcf55RFGnIR1gJa4LJBCk56TQ3nj86657U1S+By/PNSjPH7W+jiPQ7QTBSBu5T7BJAn31wyA/8VuWu95yS7YBbHa61VVmJNd6WgE2px4OaOt9NJlansFy/fH+SnKcTKlTwOkBvCFuS0fpWOMtTSz/ZUwBsA8KDMDyROFrnJsJWizrkcCKOmPr+mL7tz9+iX3qQ09byXsjHiLCA4CeHLNrLoFToloxaAaGYvZHX3jefvdfvEksLEwGu1mQCPbt8HR9ptWh/NuEnk2qgI2K1ZQb0eAn6vl332q1z+IYMT+ngHp7lXRL6tLyzonU1Xstp9RTQGNh/BMfGNoE4oepL3D5cwyboo32PLHmrr8ab+nrqu37+1+x+qY2y8WJn7PXF1C1IL6RXkCkAKoNNyxtlswAODwB1+IVy82TefjliKhuCvRvtMjMoQ/i2zMLg39PLYa+k6J5TuFmt77rajlpMSmdy/RZi8mSJ7WfcuCgyHlgSfU1Vlyx13VMertOOqDr6zgc1AUPvbBZ+CTonYg20DI62OkAR/5vyjfcQnyuG6wIM/GB/mbCJ3QAVro8EKiakwGIkQ5Ldi4xtOAKRXJKAHUtcGu+g8n9K/G+BYSqrGVJcRpcUJbOh5/wYvg7ub4RyHF9HGiUDtDxMaf5uoQpBDWTajilzDVws4QdMFfW6hgNgeuv2Gi57y/G8nOQ2Fj4QIB7Y9syrRarqjAdOHTefvdPDtue98Im1WLBLepgcYFk8t2cYmCjclU3VSUvO81ePzNgvX14r63EXDHlaWknQsqru5bhElNA4yGRza/f4RgJv5e4CkucfTj3nYuLbtMWuDY52bl27MRprKWGcLAHV0O6A+Ptnn+FtOnI7DjIAoiTBOn0iEQuWXmVLq4ZYuPuanmVPARwJm/Eqp0nDoLj6QtQ8IFYrBfuxXbX4xrsbXAg5ZwlBzfTPxdmP/E9XuLEqVmPyJcNV/XOyil1XaLiykvdz85gL5yYkw/DfXmTyyqf10INuURQk5i3t13m0aMej6un7U24P5eQ5153hlhYtoNHo1xHV4nWeRgD9M9GUNAd6mu21vqncZz4JtZWrKEqyJsymZ6JxaX2OFn6qlTdG94ffidXG403AfI0cXIyFHCC5+eXxawFOXT2seZ/4mNu5kfWwM3MtFnyK+Eb1aZ1Jfa5O9bZ7/y7d2zrewrtQOuQrbuMKLH4llGSaOh73z/p8bLkwbRp0D0m+LXwXUnzcimSwE0h2s79bTHr6dHEJKVwwC5Bdl7FtT8XNwUSh9hMxxd3C9ni4KoMoWNz6YZK27Z1M2FjWu3c+SbLw1IyNDxYbBsD0QFTVpu8i6pmy5HJzj1ROBCtZ79nNds+CIfiNjbn84iR2thMdF2f+N/g0H8n9pGfGP/DFf5nRgqdgyGzYuUnRWJZ3swnJXd3WBOJ5eRXJwMQAheq5loP1DnU34ZI6DGP4zQ81MMLoiMaqsEiO2cBuoEPll8jw4T6aXrJAUskq4QYfUVubZVBnCjp2cRG+gnh0I++TpeNoL8UQxwmzpie9bLm0/BF3qsSvdg527fIglQOfRoouEuVQlwcPmq3KrGI5Pnq+YQxM1eWa+BmEQRf7KN6k1KnZbOYra+BI0JQS/nOk6nTlkKCtqGTo3S2sdO+8sxZnPll2iBoIzjrlxY7ZoJMZvmrl0fFnTKUmPuHJAdb9DidpbS1S2sUCMbX1IVLv/VZhvV52bpA+jYt3f121eUbbf26Wjt89Jida25jPcBFf4obGoAciapkXRlSc7qmipuQYf14zO08/yK+b+62yi332fmjXw24Drydh2/Q0z09vjrE2UTa2FR2XvEOnBPmoLvSzKbfHQdb0+cw09m5+587AHFyvpeOs7z8kt1YON1I2ZsBGD3o1LxinYjdBvvOcV+gG7OwEUXnaBOnbbL4ko+asR4pdNNa5xQBb5zTQzHo3QTOJ1X75eLUXEhBemFZ5476XLEAJxSOBTZFg3kmkVr/fD7Mb1KsgZt50nqpbg+UADUESfxRGARhXqUzZzvs1W+1W91NOdYtVsoyJpXmYIpy5wpcuYzVWitqjQIXPQWEMbp6h23zxvVEAS+wI8dO2rm2bttQnEMgy6XYCLVJyFQ22IRn3GwkmmFT7jz/AiKcaitx/ZsbEa08GTdb1rqUuA4F6xQPxc9TdxepcRf5GH5d8gq3+Fu8vPyOSknXFW8T81hMd6pcfVQuIr2izVZWewv+abY5sOppeQcuy8t4Aj7qm6QcVQa75WLL1/PQUi4T4m33HKmKhDJKDil8Z16K/vQikvuz2KYmV8oFdznIYSykQwMP5SCAkyTICbhAC6/4Gri5oDtW5kROtroiDe/CdCYugk8SdiFc4N453oriCyADlAEXe1mTpqir1oG2MmHx/uCk+FvYAhqsCa1lbS2tUWAmCghYaH6vqyq29bVY3vT2BSbg+LcK3lJnenLx54NNI+Q0aJwHG3Fizr4pMY5b67+HI8USlHCvtiG8Cnc1o3/jjvc0vuMblfvaEWAZdXPvDAJjpmMJpTQK2IgNd7h/GzmpE0coDa5JIKJZ7BwJylddWTktNx9F6OprEUPtBHBE8KVzDlDzmnWjM6TyBGrQmmFqphJo0AY6bGpLpv52YqzkH3XxSlUK+qjv06C74lUpIOdsVlU+PlXZRdY3k1JSS/Klnpmpre2qya24EC39WkwOEUnV5WfYiTf6rK8/EAMdPNGO8xsBXqYw9E1xj81KAzkX7FfI8jxiYRVQR5K6eJr1cNZ8LraLY7xtSm4+NtqvFo9XX2vERNLiOvErWOwjLOwFTKuQ7Z14fe34B5kCmr9SIPZv2Db9g1HbtW2jleO479jxk/i8arSS/Gw2gonxtnT0Crg4GrPSO9F8ngxyqAMb0RDm4ArPULvtfVgH3eTm4f09Z318S4HW8OybnVeLFdImj/StUAUyd5Y7f80NRYqPERhSoQyGo4hvYnjAZW45bwOujvQz5p9Ew/izgKfs3CorrLjMijHRliK0QFhHPfowRPKWT53ArJtyFlTW/Gu39sT0FHDQolAOYA63qpoG5CyWW5NYcuo5N5MW+8Si1o5no0B5KayZMmK9EPSyQIo3xwesraMfN/ij1tgx4C6MteT5urdMNFZ5Eo/JKaBVZFlhUfA2Nls7kr+2TI1IvkLjd2rhlE+OnMINrgjpq/T41eAgYDdPnBSt1Dly2DXU38CnkWMt3H5l4sa1ox84Cgg0eNw3Wi6fNlGif0fggp5r6LYfei9hTfJybf/Lr1pLT7+tRySl6ODLlbSZiDfrnA0JV4RywoRlkPy2KNZY27nnrbruvVa+8U6LHv2K65pk5ZYGFkOEJsjJr2Su5PB2PgTe6YJlMwjIB8xllqLeAuDBhcQwukQ12z5knS1vuUJvFEVb+MGUlvwckU6LODWjsX43tS4svxqu0lWUvw7dl3ZM15+07ubXbBi9HterUZR7ANhaWj0UcK6g9HEEciTAi4+5YCymrp6pBzcapwnzI3VVfXfmpLVFfVtbidl3RcTqh0ZsTzbin+I0ewOvwFI2jIlzItH1CpBA4Mb6YvaRq4utAMdiqUurdaCwIGdk+ltq5ebbx99QXVEQWvjQpsP8G2KEfkTUh77w4rujreFVXLd/2RUNg05biZ5LXU+t5bRwCoT+rNr7ogQ0SLdNlSVWkJuN+CbDovhUuXTfHncqdxTOTbFbEyy8rEU9KWAuzobGtvRkxpMAO261Wg/guG4DQOJyAM5d7uxOyrr5JZsBM90W7TmCCftpcFIXcyMGmMPnFpyfDIKdZkTgRmFRlJm7xSoqN8Jh2Wqdbfuspf4p6+88TrmaTXPNkWDGCaikk29+2RUOagrKtgF0YtbZ+BIm2i9i1dXsOcn83Cs+Z77jDV07WGYKBCBH6hZTQHWK6pF6cONjkD9a7ecarylqxEWdTTBnrQzOzceuKrOvPHneYlhKWV2GPfb9s/b+e/daTRmgojtw0LfcJM0Uunlz2O74Z9VWRowrpRBpL4ju3l79CT/KZblbNVvNg7rIk+rwYBeL5n4bxptqRqbETbI0SbdMFtd0nK9p8c7E0s0XcX5H5Lir6Ap0FPJd92AYp19BO2crb+3au5ECGt0RAMwAVoa5Bfn2nqt32u6ddVZRUW7ZWSi0sj7G2JQvv3SvNZxvtKaO3mBsMY5G4Nys3IxQyfr4RI0fozOBOKHt7GO0pZoQAregS3MtUp4B6yFUwWDX2wAcjfUoc4H5AFdqlBeEUdoyOjqAYzu4LXBzRqPNcFuOWSR3u1VUbYXbUoFTu8fR43kdUdxMujDUw/cSxPEcZiP+Kkb/R16Clbqa3sQC6lUb7D1LWRJ3sVH6lZWjoBe/9ic5Cni/x/s4uSeSviv14EZDS4NRn7U0JwUCHgABKoty7J7r1ttXPl9vsdoxW1eZZQ890Wofuu+k1W0oMWvFtI75mhhgc87MF3mDdHtGxDXanGV7dlaxbEhBkEVGq8yCUzg+EjSHfB1aTYsRizH/hgc7eGM9aIO8lWZG8li0YaIDaDIItJfpH8ANC3lmJMJvHJVl5VtO1nqIpDdftU9tWgytFkzktQdXkAIC/1mMh+MEs/3Y3TfYXbffbJWAml6Uhju7uvAX1evDIi8317q6ul3n5v/59Cft29/5nr30+jt4J85YVtFUIqkCTvKFc1Fn5K9FZs+FWQVwbpqt4+wTzI3jjHBevAAz+oyKC+PWWAi6fKqLE5QeGEoM4+tl9DwqNx2WGWuzwrx9ll53L9cjHvpAFloTOjjBOqH1cQwRVxYxqcrwmFxYsc/z6yfIZ3ebxFvvsEYNOIeVP0y5VCoLJ1Jm7XhJKeDi0dSWsATgJl7BC+dHamv+LslNCwCibQCD2RUEprTLcqyft700FkfLN3v06ZN2w1UbzK7KsVMDMSsF3USXYf6q+3LZzE93Ddtdt5XZJbtrnOKpw6wqgcav0uSgk8UyLQ1PsWmFfHL4sHZyTjy0UWKpxMbQx5cyZkx6+bxxA2p8cV+lbVqr1tJTQPND+jWDeAb+7Kc+ZHfcehMbe8wOHTpiL7z0uh09ddb6BlByZTEvyMuxbVs22LVXX+biqZ/9iU/Yutrv2bcfe5Y80CtxUdHS1/nCEi6clzpTWHGV5RdvA1ActuaTD1q0rwFAQ9R4veykBfplgbkDYAZwrxcEeD4AFn1Yz7SmMXdihjPQvrctY7TXCgpvtOqtd6DD08OLxOvkA9c6vtGN4fguM6vISgg2WVJ1JeKtPLio7daBTk1X0353pOcWUOPWW2ubzoV9meyZC/s82SdX631LB25Wa4tXYb1CwLB3e7X97D219oWHzhDdOx0Lgyz76mutMAIy7KZtBfb88W4/XuomaJgTzcEKCHLV9Mqwffgzm62mHKRFWpRIynOY5g8EcBn5NJeW+5RDLtc5EBVYnLUw45cjNqK3Sk7Bave3Sy3WzlLVgi20iXIcyouj7p9k7oVCG4KUSlcxvqNNS5CgoRRml8ciaAnqP0eWsoYaQDrywffcaPfdc4c1NbfYF7/8oH3noVesdH2OlaC3FgBng4MTte+/8oY9+PAL9uH33Wgf/8gH7P577sSqaNgeeuwZ91Q8vCT+buZoxKTLjGX+Z+eV49DvTrc+ajn1CErGZ+FgokvjZuDBXAlBSfArEKPreNIg13TxxMHgOS69bAUFN1nlptvxXHyW+E1YVKGdlIHvmMKqGxzUKEiluDPt515Ar+Y59GpaEQvnw+hBXO9zUBNzLc1KgRlIFKznIRddN81w46yZr86Lyw5ulmRzXJ20TbpWook0xQvyIvbDD+yyL/zFacvblGatIIxiAMYTb7ZaOXo4BcSdkpRoqZO26kK4Nr1witLuKrR7b9nmRaqOqe8/2o7sPhbroYxQlLPULZwp/3CRVnBQLCygtb97soDKR4OMn5z+8VkjC5MgBf2Xlj7Cpg0YkjJjeGmGorqJH9R2HvEENIaoFBTv2MTjGZ694HS82l7mdOMjvH7Bg0t4YmqZYbuy061qY5HlZvGGnmRK/ZhLsuB53iZ9k76hYbvuyn12J6IoAZvPf+Fvrb7+nF1yWRXBbzGLhk3rViH0k0hSkJNlFTvy7fmX37TW9i77hZ/6hN12yw128vRZe+vQUeK6Zfkz86zKwm9Xv/kGpwP/4X5JiquuRpesyFrPPEU8psMAi1zm7DB+S2TvIrFTyE4OntE5ZgwwZZrXluAW8meeDJxBrFtlRSU7CNR5s7XVP4aV4k4rIgZUfvEWsMsIvmpeB9R8H1DTQpUigCo4qTInn26sq/pr6UIKiOaT6AXEdi60xH5DcMXKHaymOXuaezU4Jz9wYZ6r/MyygZvQzCv8XuV0WfbqaW/TeLr5ms32i5/Zan/2Vydsx6V5do44UtlcPNeJPwfe9ieNzyWqpZap6tw0e+sb/fa//v4m27W1IliQOZ9s/+m+qZvShXXXxCJSbyHKhfiqcEdPc6GCJWpzYrZpkSzLIpKv+6qJd4zq7m1nER+31BUrXmuAAu+xUIyAfjySMwtE8HauixcCNikl79lWY+tvqUIJWaaqiaW/e481HqQse+rMOWskzMD0zeasJsK4xY64Z6IzS5Wfm/6p1UA1KZmzTdgN11yJ7lW2PfTI4/byoZO2s6rIBGaD+cB40LAgqSWKG9c7MOwcnaMn6+3hx56yj3/0A/aeu2+1x55/23ZswFsxem5T55JnsGR/RP9g7I7y4pFXtAuT71044DvlQTTd6zCgw8MyyemoLKP4ppdIelZf+hOIpcL26qqfj+laPDFvrPegZZbVolNzFWKoAhz+bULUFQFEHUL89KoN9JwO5giWiMFLx+odA2GzVuW394l3DtWTp2oUwAmJkVey18rW38hxPtHN2+miQOE9WLuWsSVev9SVt6Tgxhd46qqJKQ16peWdpF7kRfEn7NfCvCz7pU9eY3/2cKO19o1gHorvGzSJlwvYaNmoIgr4W0cH7H2/vMl+6L5LnH7z7bfw/iCsRNAFYRv1Sxu6TK6jAyds/a4ftcqNN2FVgSxei92yJ7U6XHDZSFAajuSUYaZ6kvPsPlJ0VJ2otOtLspCztHM+eFtVWwV8FM/GwY1f0wNhnjrmFz8lthhjLtx843V29x24iC/I82fGaRNWJfwOHp38N7wWfutq4vHku6f/Nd/7p88l6bPe34C6wcFB+9rXH7avP/IkcdTYELU5Tkrh4hucTMerbEYEkegYyqhjEo2GNJ363KRMlv2HLKPOd/baXTdcblsJgnn46HF78vuv28biXGKywb8Y7+DpqxZF/FSYk2mPPvcqejo3eJTwW6/dSeiVc4yrYE4k+2IxfQnJnXXqxusa1HnY8gljINDR1iDuiSwHi+gLoAzDX0HHXTQEiJeLfQZzoJum03x81SdTHXuP6TievzifY1iMjY2xoQ6cxKz8dsvAZLyr5QCcGsIldByCO0So4HExMWV6JmS2luZJAfVsfG2VKI/OyyvaAqC8wQrLd/u0aieWmMzpiQIKnZeR0AljYp6NmvX2lBvfjJOECofBw0ZGRmxgYMABznJM0FlbfBFc3LW1xP7i1y61T//2q7ZlHZxbLSLjhF3aBoBrrHOIwjbm26//5GVWURzxDWmuxXlqrdTPArTq+9E4y3osoRFa38Ryzsxej6XEi1hdnA0WzKkZLetvKsXqmY7Zd1ntdSyqLAZaWLUY6BIpsBbTWw8cHFme6vUAbkRGBoCHhdqVQHWjPzC507ReyMN0BqDoxZdfs6amJsvC0srnRDx/f/Td+Ie2awyJRkePn8LqTzScTJ+JZrPtoVMxPNThoo9y3iolhuhpwzIGi50xcXG0y/kiPfHUSh5lw4HrO91gl/zUD1tpSbF95/GnrA2rqJqiXNqszWT2pPGUxnxp7emz48SYuv76q+2yfTvs0PEziKRzoMPcecxeQvJXVZKmrABMZnYp+jZV9EUX4QzO0okSJ070m+a01wxg70iHb+GeSSlxbI/woiuREmBQuXhOvDGkDzZY2lAzZXRZ04lvEmCzifFCuISwrxPKnJT32o/kKOAvjaxniNuz8eJcVEmkdJwfSkm7j5e4DmJv9XeeQPTOC2a42CWX86q9K+Wcm3Ac67u1jbABpMcffxwHT3Jjv5bmooAW/Cy4NV29g1ZZNGaN0TrL5Q03WAZC6s6Vy8Kuu/JseqZ1DA7bTSVH7KlH6+3JRyiZ4uMvW0lnrA1bm5k++/fv9+daWpqsdEN1Qh7idmTD7j6CBcbLnI+/WSTcsbyHoi/gI1JgeTgsy0Y0FTTcl+DxqvhGFCfIOMDhuXS5FteuMEcz5N/kdcQV33vkDTYEIaSl7dfxiq/4geiYYZXbS9AlmVnnRuNQLPLBnjPWePwhFuJL4OzdjnLpFfgdwlKm5SUHPWnpWLBpJ10FICecH+Wlpc6da2xuDbitk4fOrD0gLlY1enen0NG56srLrKqiwlqONtlgXaX1wP1Z8qS6MhSr8rMsH10gvXxk5ayDa1Po0byHcZAnTtrUF9RJAAdZlbRtGOJzJAoa333wUgtoTY+2oNvGywQASqDGdUIuQEpzZLvKLifT/Us/++GQYRQhBfCSalmeXW7y4zWIYnZ3/TOY1L+J5RkenQ1x1DQvZauMpElXZ3x4Jf1EEjeGHdrd3cubaaY9/PDD/kni0bVbEiigPTLrql+3mNiGrkAHZcNVNOG+lByyQaQBbKIsTbnt++35Z/+3Pf+tlOTsmWRn59jQ0GAwdyZlCwjKzMNPDMGzVknSIuD6NrOsOlrgA86DFnLdiPFrnHMjgDRXKiWGUOVlNUvWnXOVv5LXFX5gZq6Naib6ST+HECQNz1kP4omy6uusqGKvVW25G7CzD5DzCs7fXmSjxRR/nI0+N92Xqt3Bhl/MBkI8pmiUuHCEH5hl/ExXD+WRm5VpTa0dzvW8DO/Fv/y5TwZ6EGu7vwAAQABJREFUWTNyuabLaYHnqK+s/c4DzN4+ctL64CJl51ZSl2zM19u5plh3gXrB1BLGAY74OHAJJKKdCeCMkwXunSetaWyuEfR7snLWA6aK0bM5CS0Lpxaz6n4Hy3FcAYNm6Gj8nP+myt5g/zNN/aVTxoh3UsSPdRcnAuoE56Z5MMlTcMrwv1VQuttKa67BcWI1/ru6rR2xn0RQ4o46N056Nl6JeJ8kmftqvm1JwE3YjRJLRKOEoM/Ls5ISHNGtpTkpoPElEfvQMNZSzeds8LX/ZHb5v7QsFnZea7T68B1SeM7skriBPDWeUeBTILwhPPJG3/nfsKMx/SzLYYHWxcWltrY2gI3YnUFS7SflCrCKM7fDW1b0ewz/NV5Dr6SWK94sAX3St5mcpGuDp1nWc+kPpMNh0yKfjNqQ3tJjzrWZnOPar6kUSLdof7s1nvymdRECoGwdekpldVZDnKPC8n0s0C/BVj/k4kD5PPG0ApycQGzb56BNDh6lgzNfc3flIfFTPv5viooK3PHfbSM3TJksU+mT2t+yejqEvtDxUw3Wo7d9xBbSQYsNJ3LeJ83e8QqMA5y4iGo2gKMc0sSM8qyYW24xyasVyvzpDlbF+rlgwo2XtdwH6psg6ClLZXz9Vf8KpItm6rcoaG5wOEZ8wBj0ov4yreynkbM5JhMCLmC9IfRGOmOmAK59Nt8RlNM1huQyIpNjL5NbA3Eh5Qr8OBiZhRJaiOjD/ELCXqy/mTW9mDn0Nib1zwAeFfxUisNxMeNcec1SzGq9tGTgRsMyJL5EUmtiqQUMgTTCHYwN2ODrf2Cje3/OspGRpqHd7qIMLeA+yRa6ADDxNKBZuHzxwhvvwOnHLXbmIc4VoNvQYY3nKSNFKYziG9Y2/Fb2vr6lqJxUZTNeJ9ji8pAa1HIyPfRL0CcdgDOKxVQMXRrpmU3/bpuqmv2g5UNPaJzjRHEQp3ENh/8G645dxP662QpKtnjAxp6OXdbd8mZgVSPyhFZVyw5y+vFd0wOnI92qq8ot9vaxeXWWNrJ2LKfqNm/wDfPFl1+3V14/gGsl+VYaH5HzynO+N2vTbGltt0FeRoI9XDNVZQuJJM7a6XNOBuCELVGO0rwJTJKHmUOj4xLdkG8xfSlLf9aHHH9EeyW1S9aQQ4AWOVkVbsnBnUE+pvo5eJouzM+14sJ8KyTURj6BULM5L0vI3Jwc92I+U431WjcAly8Kt09BVXvZK/v6+vFmPWCdeLQexH1AN59+XAwwCtz3kfS7HPDAPFASwJoW7MTHjAw1etoOW2/nMV4EDrLeFzBFtLdoBQt7w7N6V/1ZEnBzIYXCCXLhlbUzs1AAYGN4yNUAjL795xbrvNuycaSVWVDLAMWEWFyccAH3dWeuxYeBrLGs29gABGpGYf1HOw/b0Ilv2FjXYYBNMffgf8XVBFPZbxfTJBIfZgy/HsWIQi6xrNwKp1WwVkxuR0B2QRwWaoIEZsHGl/+PQKvSr3JlLS2OAhq32gbYaNKxPiJK9RBAJ69kuzt5K62+AlPlHcQYOgDIeR1HcO2AAS3cwcYUDPrF1WCup6N6U6/aYEeOnbJ9iJN21G2x0ade4Y1bAsu5kzgDGi0RFMzrsLbqQST0T9/6jj3xykErQlQlTt/kkTd3nvO5Q2Urf33nEP5BG7deSEbly0bn0Y1Llo7JAByV44lJJXAjOokLKqeA6mtxSlcihf2gssWNGUDXSbXJhh4F+YVWjXVjUX6eVZSXAmArrKysBAVydMjy8l0FQ/2Xxb2ZCkcB50VcvNDabbr2qFfltDGGqFbK9gI5MsLQpw8jnPaODuvA/1EL3O9mQKfGRTegp6dv0IYGsSSDVhGFhQHoqO7BGBFXR6Xxhz7s6z5hfV3HvB2Wnh+fG8Gd09Xp3XIOcDM+zFLUpnc/0VJEqOSyGZM4R4t6scUaUMw+/7hFdvy4RQgcl8mmi0DVezBQrBTtZ6I//SwlPVYRvQWOAWqGe89Z9DzKmee+G9QlHRn3aFdCvWbKK+GWd92hVtlRTF7bEX+IQ4CJOv4ggq1n+sYGVNIiTdwpIj0rHlUM+k5srtM/t3Z2PhSIj22+BD1HeBvtAsjI90oxlh8lVSjg4uW2mNhDElV1trxqsSiiFLe2Cde4pRvP0iOqqy6yF4gNdf21V9ieXTvtpst22POvvWW1JYW88YtPMXOSGKKnP2rX7N7m4Kapsdkefumg7SrPM+UdtmDmHFJ4RZskYEoxn0YIeCnFYgH9ib1CtZmdlskAHK8xnBEp2KfxYiARSWwYh57DfUydyVZZKWzdtFmJa6ZWybItCltmmObloVS9rqLIFCJjO2B144Z1gJoKt4YTV0Yclq7uHusHhAwOoh9GLLH+vgEXwUsdQz6dpH8Vw9BgpqQI5wqkKhCUxXd2TrYp5lhu/LN182as5vKtqJC1mQp2dgB0WlvtPOPj1Jl6O3byjNWfb7VecdpYt7IBOu75nC2DLgzWevQ1MZOgCmTAPT8oaZk4N8tDTkeuAWRdngIXWIrqqZQ8q5kBKdDh4KPHho/8jQ0zeDNq77dI9eWWkVeBvDaXBQJWI29Byl1LT/itslgx4NKgExDtsWh3vY00vmrWtt8vEUVKN1CGvAQvfwqosfzlTl+i5Ogx3yAll87Eciqg5MTXtM/F13oBoaG+RhuJ9jr9g56Y9om1kwumQDC6xU0YYSNsO/ekB1AsrroKTts+q95yL0rHl1lHw37r7XiHoQ/IcX0crfZLtLiz7ugNvYnN57U3DtpHP7TFHrjnNjt44ixciRicEJT14e5MUqRm4EuXIhtOyTDe/ArYwD5w/12+2T/93AuWj5hT3AMBhfjwWjDF5vOgXoB83AIwoljUiH7ZueVuNRUlcGbgd2buHKcDOGLMKKmE8OM9koZOZhpADpPzkWinA6vlaLXEO/oMIPZp7otaNUD0sp0bbdf2rbZje51t2oiCM1yRgcEhPv12HvcNb79z2Lq7uwiC2g2g6bI2+rwrzk3pBNx0wFWxXgANfspYcGkpnNwZe5AtmBciAvkp3g1irRwrJURHPuKskkI4RKXFVlpaZKXFcIg4Lioi1hauBvbu2WXXXHW57yENAB35VTp2/KS9c+y0nWnttIrcTCvIlXdrgJqD4+UcQTR3nkljIdUpbcslt6S21Uxybd6xkWE7d/wAE0NvsPHJkkTti4uLkVcSrDAJkKJ7xMbTR87BViJJUVqIe7b66s1E8uTh4WFH9WI5LjhJqz09DyzSOZFFVqWlV1zGab5xPucKeVImg+4yARxlox0bbLNYb4ONtb6IN1T01yRyTa8lLybXGBPQTS7nHmLqW9W/A3bpbG2eqFxwFJh1jlrN1ssst6CYemmVm7u8qfks1+8gptQQ9RTnLPkp4iasyLMD/xzLVdsf5HJ445b4RNw1wIC8Xct1f0HpTt6Gc1xxsgPLqt72N+lFcS4lztV2mnqQE39nweInzz750QfsxuuvtTcOHLQ//5t/sibcYlQV5rqbh/HhxPAX4Dnd3mdbairsF3/io7Zn90575rn99tdffchdQMg78XzmWSpGgoLAetKLEm/9tds/Bj3rrOH4N+FKvsb6IqeKydNPYEmckXTyU1BRrQXSSxIYzMiQ+CtK/ldYUdUt1t56BPP/B+E6qA6ad4lzD1p43yWeC6o6n796OpOyswCVXX1D1tA3bLfs3WLXEcB0984dVsIeBNFd/6WzE787hNFoON+EV+0Wq29stUMnm8xaeBEsyrbC0lwrykEUhQgqaJPaqTZqbdP33DULtjr1s4oNFJQFggVKegBdnd2sQW3so+j1bN1ZZZsYK+uqK622pspqqqusvKzU8vLzHYT1obNz9NgJe4mYZU+8cdSKM8esAl9LYGTW7eT7bO5ap+4OjQ+NiVSnJQA3dCk9GoCbN+YFbjTYBQIWkmpqahxkdHZ2gqpls7/0Se2c78KTAyKvqqryykn5UJ8FgR1pubumO4OC6LrJJ7En469PyT807Z3zaf9kcFPCIpUIbha3WE1buUWfZFWif/VvvinQ91iNbZpvSy6m+4P+cmtCrNbyirZh+nod8Yk20YPEfEJ81Ymjst7Od5izbNrSIfENOrX9pDkhJdS8ggL7iY9/0KN9n64/65vN86+8aQe/fwSi6oVP5RbYlbfushuuutSuu+YKq62tsVdff9O+9LWHUChl8+QWKYoud5oAN9LJ60E0e4dVbb6HUAg4njz9ENVi7Zmn/5mZAI7cLqSnDVn5po9aJG+TnTv6IH5XDtLkENwktn7x4Eb9I05NH768Grqj9sFbLof2V9rmTRussLDAX5QbGhr/L3vvAR7XeZ6JfiDRe+8kQYC9994piqJIierFtiI7LpHLOje+m2yyTnuyN3mu8+w+8XVZrxUX2U6sZkqmRFGFnWLvvYIASRAgesegg/d9vzP/YDBEGQAzKOT85OCcOXPOX76/veercuHSVbkCkHDjTpHcraqTiIARaskUTGVeWjEhH6PEq32EbtKeQn/1t8dYRyYeeO4AS8ibYrMGiDhtTYi5BcXmOACecWmJMj4rA2NtooxOh38uMAcoDisoKJATp87JNni9DoBoMQ76QrTs6sA9dCbvIJ0/0ODGdCaBwooVKyQuDpYG4HZ0l/hMMzq5qKhQbty4IQQ1Jo0aNUru3r2roIH39RaAmHy6O5p8V69erWbundWXGyOHel1dnVqLUVaaff16h2xTUsA9QWJ9+54AWKBoKeTq8I2UPnE4xTjLiIgBgvxg0n2vFex5cGnWrl2j7E0qsfV276Z5P9uzb/9+KLTBl4ebgNQBbjLAuYkAuOGrhAM39Hc56DvlfE8+aBTgoOKcb8HYHInQARNgPr5YwhCvqAUi2dqKG9ikT6qSpc4L5Vxy/HluDKr+BtYdP2zcLzz5iMyfO1s3RHIAyPGsrbXp0A/HZhoLp38JCYzd1iYHDx+X97fvhh8SgB8vrVvu9LYD3CgdW6EHEiMp458FRypaCq6/D4B4FbQNQZ27X6Ndy3IFOCNAe7pPCI/KktgxT0BfpUzuXPod1m1y4dmPrn3SP3BD0EmRc1lDiyycOkFWLVsIUJCprkqKsTafBrA8cfaCnM/JR2SVVjBm/FWcaK31rA3+oUre2E9cadXVdwwLUAb/OL5wzrqQ+0cOTws4mGNhpTdv1hQFy+lpKZAUNMnNW3ly6OhJ2XHkvMQGWybm7njN7qoOnr4+fMANWk7i02IkP9s9zg2RJkU75GLQm/GiRYsUQXPj7DRxhKFnCSj4TG1trRQXF8ulS5fkN7/5jRw7dkzIySkpKekRJHWafw8XWVcOLvpuOXLkiMycOVPFYh3qa68jBx/vo0iKISgIwgoLC+XWrVvy8faP5aPtML1GysjIkJs3b+q5AU76pU9/uDCYZC0QYUD4dZAHk26kz/Rp0zrW2V5f81RnR3LV2FfZ2dnyzDPP6JFAlH5sekoOcKNiKTvnBnXRxLJ9yUcBT1KAoF6HFZRVAXIiIbaNTVkI0/FkDQ5YBaXvmtLzOC+xb6Eci54bh5YYxk8qEfV93tRxsmzJXFVKpRjbuaSKikrVl9jz+VG5kH1bYuGhmHo2g8GxMeTnXNVK8gLOqagaBTcUKeOelNqya1KQ/a7WsS+cLwNwRqJPKKbyDwyWpEwAp9AUuXtjOxwznkYvOFPI1ApHrBN95YpSHAZJj5a3buUiWbJwnsTHx8ktKOXu3ndIDp++qArCofAzE+hv+ZWhDIFcjsEEM06t7/SUewU5O2geySPNytlhNPYRMn/aOFm3eplMnDBOdYbOnbsg23d+rlZXQWjjUAE43gI33lEo5tjsRbJQqPUQlero9I8fd1IM3nyYpkyZIqtWrZKnnnpK3njjDfn+97+vHCB3Nl53ynG+hyDGiJIiUF+KmvjpbXr55Zc1NMGPfvQj+eSTTxSQleINwuTd2/za779/kaauAdMIaOVHgGXe1zozj3A8369AqOzqDmOEX+6vM8vyJR8F+kQBA5jxNkvpU1XxWbFVZEtE/HS4oJ8l8elLJTJmnFQUn0L06UsQn0O/igV5SFSlrH8M62goil6+niOnr+RIdGSYxEZGSByUVukPqayyRqpg2luJGFRBwBMxUALlhjOkNlPUk2CjFhG6a0rHWRaEqauk7M4eCLfBMVbujftz11Iytub7SMRwi0I4gMDQNFi+XYAZ/1mUBUJ0pg/lfhH3DRdybKgUHIW94plN62TG9Kl48S2Vt979o+w7yhfwBujggP4IO8FiSH+ChOGQWFfGqyMPjSDHHw2JwIfD/zKUjM9fuykLZ00GyFkuK5YtlrTUFNny4afg5txBjC8oKPRRDcSjtNG+xR/zsuuhzL0DbvpRuTa7OIpcAoIek5zPzTUenXV0CDpSU1Plr/7qr1RU9O1vf1vSIYO8c+eO8yP9PndefIw4yp368jlzH+saGxsrGzZskHnz5inH6S//8i8lKSlJuTvOHn37XWFmwNGuRwxoO415dOY2dUVj68H2v87tb7/a37P2vu5vTr7nfRRwUMCMe2zQzTBuqLh7WH1+RMXPlEi4U0gau0GiELOqnJZVADm6pTmUWR259OmEnIK2VmzXWMdgCCPNtjopgC7N7TxrLvrDbJcchTCEL+a9Q+VNWhtrXy6shmPzBAAovrUbvltCwQGbrxtR6e0dFodJuWTmAXN0JZl9foMWFElzaY8BSIpMmK2iwtK8PVZeXT3ump2b30lfKmWnpiXJn7z0lIyBysLps+flw093S87tfDjFo38Yi0NDGDeck3L7MN5M4rgLGdkmx0+fl9xbBfLo6iWycvli+coXn5d33vsQIrhLaqlHTuHgJvvYcMxVz9RmyIEbg96cuTlsKjdiZ4sobsoUkThvzuY++gwgV2Tfvn3yzjvveAXgGPI7AAH6x3GOHymGohUX68LEetLBk+F4OIOyhIQE+fM//3OY+sXI1772NaHOUF5enubncSDhVM/OaGyAj1ba5Q/rQpEc22XqZY4ut/buq31s9+4h390+CvSGAlz0qTUxUoNANuZ9JjWV1yQam2tE/CRJm/gMNtmZADmH1dOxNT/bN4relOR6L0vlnsP5Zjl244DnVfzDdYcIaqjMg07qwbpShFeU+zFCX2xS/0/+gZHg4OySRlsx2oN1zs4dZvtNFg4KsqH0twJOT3BYqiSMhrk+wGVN+TWAph0wAUeMI3Jtugv34siMJfScaL1EfZQUWBS9+vIz4Foky849++WtD3bISIYlALAZDGu0nmvumTu4Nrdg4DGcQw1M13/y5lYpLS+TJzasl5ef3wxrrBa5cOU6wjwMsoiKg4UI08Np6IEblwayg7goEKj84Ac/gPJdgoP7MXXqVHnppZckMzNTN1tdPMB+5GJBoPDss88quCGwIKjobuN2Kbb3Xznx0D+mvtu3bxeKm8bACRMT/ROQQ7N48WKtL+tk7mW9CHxeffVVKEgXQ6T232X06NFy+/Zt7wAcrdH9f7Zu3Spvv/22WnN1JRpjvakUaRSgnRW578/Rd8VHgaFGAXANdBP2g6fjHEQeR4DIymnKvQmJHKM+copv7USwzquYe2C3YFP3VOJ8x3+nPD2Xt6fq2HU+qCv0ZBpsdwFwPpK49BUAJxNhHJAs1cUXAFIu47d8cGXgVoKiwA4ZgXsFk2/q1URCLEhQ4x8UCVHUWSnL2wuHmaW4m+Kojk91yIJfuP/1cIt5hnuBEhuir03rV0saLNH2QLfm3/5jq4yJhOEFgA9NrR+GRI4g97/0iCB5Y9te7IP35LnNG+XpJ9ZLNrhXTVBgJ4eLPnEepDTkwY0hNnVnPvvsM/PVcdy7d6/89re/VX0VAxZ0UGNwG2BBTgNdYtdDuc/bSScVCqEy8+7duzst7he/+IVylqhXxDpz4PFNkVyeL3/5y1Cq3qnPuqus22khvbxIQEiFZnK63E1sq1cBo7sV8d3no0BvKKB6NXxZhDk4xjBNj2srLknCmMeFoRyCw1Nx7QwYEfS35a01YxhuJKQbPD432IoU4DTUzVOnidHJcyQc3K+m+gpphmfv5qZq0A2O67CmMDgjvRsHwNJKHQFCrNUMv1uleftgtQbv6PCHRqVlS9epN53Y/b30+Fxa2yCrF82RObNnyOWr1+XdbTtlbBQcP2Kzp86TpxIVsGlhpngKAEHztlCsp4rodz6WkrqfjI8Llzc/OyijYEm1fMlCWbN0gbz/2T7E7uwFcux3bQYmg2EDbigOYZo4caJaSJHTQbHUjh071PKI1lGuqd2kkb+w8wYumfpS0bmqqkrFUuR68JyiJwYS/eY3v6mAhgCHvxHgpELh67vf/a6CG1pWeEMhujMqkDphcATFtGTJEjX3NkBNL+IPv5OjQ+BGiy/W25d8FHCPAhhhXP3dTO13Wu4UPL35WdWg8i7OsAHTRLihju4jJqCecPTXmVKrm3V/kG+j5ZSuA9BfKr2zW0FgRMw06M5MBUdmEugJh6WtcDpnwAO4OCPgU+gexE2NtYVSWnRYgSTjf6koi8Qy93qIcBw7fFkLQwiDWTOm6PnxU2ekogo+e8KD9LsniiIdaInHtdux18C03Q/rOHVHLcsuT5TkmTy4XjOUR1LwSDl8/DQcRo6XubOmySGcV5RX6Ev2g7SmDxtwY3RU6KCvCC6wydUgwGGiHNs5mU25EmaWTF4XSTkXbj83g4RgJj8/33EH/dpQkZgAZu7cuQokeK+pM2/k9QkTJsi1a9eUI0UgMRCpEnVlOnToUI/FGTDW442+G3wUUAoARUDPwQINdBaBPc1+3fkbX0J4nToeTApyGB8Km6SFRPSyh/+gLGy+7SbQOLdK9nA5wz87NduFWK9NlYIDIFKqBMdmPxwkHgGHJl6CQhOVS0OODVMbxFQtDZXSUF8I8UcpxFbwwUVODXV07D3N+zyaADoa4OQuNTlJUlOS8CJWBIXafImENZpZl/tVHkEN2sB9hesgFXcdCed0A9CKD2lEj8pDCeTQii8UHpVPXL0p6/LyZcL4cZKAsA4FhSUSEQpxojXtHM0ZzifDBtwYItOEmQOK3AN+aPqdMSbD/KyDl0CBg/jSJXq6RKgBuxKs46YBPGFdmUydqKsybtw4vUbz7wULFji4NwbgxNmtqAhuDAdIH/DiH5a97pFHJO13v1OOmOsiwO8Um5GT9C//8i/KLeP3rnRzvFhVX9bDjQIYW8EhSepQzz+AolhnkYCBOebo3Dhcw70NiADOqMatLeAIeCs5VnXWgx9fcqYA1we+YEZHRsmyxXOlHGEJ9h48IQFY32i+zXWgpbUAYKcQ1AMQxf0KXrBZQq3V4pbQM7QGMmXOzmPAuaT+n7NkmjiHhQarSxH6EmqAM7sOIKRPxRDUALzgZZrm5SqO6iQfAmPjx4c0o+hex7xjjHXy0ABeIh0qa+p1jwwJCZbAoEA1fbcA/YODboYNuDEbf25urg6DhQsXyqpVq+TrX/86nDHRw6fVKRxMRNQ0//4tNmomOs8bSok6QExnz55VB4QUPzmnIAA4irNMGiguyZw5kE/j010iuHn99dcV3FAs6AM33VHL9xuBAnkxERBZxKcvhzt/G0AKgoqCnc857frhwqsbCN4JGDNqhH+UVFVC6fFaCYJkYuMkB0ff+L1F2wdncfckhahw2oho2YsQ8XzJogVy9MRJqW5skQT4hsGSi87iS5zlX0W5cx3IiL5mZfRPhx941StJi0LOgeDuh0PcHoAXMR03GF+9Hz72cWoXQZEWZj/qqvIsX8c29iKKrO4B4BBweSI2VldlunPd0CU4LFjDTQQjCjnn3MD0ijs19Nw9Qx7cmEG0bNkyuXDhgnJtyDGgMi4tpxycDfYaeojAhl6Lf/azn8npU6ccZtWeI1n/c6KZOBOtjuoQTdaAG7aVII1gxjgn5H2GBjz3ZrLeMCwRmQGLLI/lEzRSDEhzfKNE7HyPN+vly3t4U4BTk9HVqWRaWXxSmmrzZGQAObB4w8V8tT5g82Pc09kaxcy8xnk+Mnw65ngYrG3g1JPKvbR0GiJvwMO7V3pXe+qwJMTHwBHcIigENwHcnJWYYGv7MCLEjjmabZTb5sBvnTQDrwe3hmtXAjwRR0dFQvRSJMFBvQPHfJ5AnJwYy5MuvndsaLffeO9IrusYzwQ5XEfbIJobrLWT7aFC9cTkOPhUQ6BlfKceDjlwD1qCjnRvuqrn5nc+0Ht+rqc7yJ3hxzWZQcJOY1Oon/LDH/5Qzcap30J/MUMtmToT5HSlta/tGeCKc0PpKpnfQqCkZ84Ho45d1c93fahSwDJ/Jlu+mbGdKnOlvvK8BARGAdwA9ADAWB9rA2FQQut7AO5BTLSAFGwIlhdya5Mc+I1yqFJ2IOrF3YEgtLHNTzY9skJioqPk0x175OCV2zIpPlwaEd+v8zS4/cSo341NrQqWM8aMknmzp8FL9A0Jwz7hnv0bQU0XejWdN7jbq1wrCXJ45IcgZzD0cejTphSR0J9YNEGmTp6IF+xKSDaa4MyP4sXB7bNuCdiHHz3OufEsVLq/RQQGfItgOWag8C6auu3Zs0f+7m+/L0eOHlVPv8YXy/25DO4VAw5onWSUolkjto1t4pHxskwyYMh899aR9CovL1fw4lomv7OuBI+09GIabiIpHZugry91QQH0cc/LW+/pZ5Gcr1HUUwiA5QyCLiLI6z1k1QY9jNY2vNXyA66M47wN97byTZfP+dJgUYDAhmNictZojZ7NWEy7DpyQcbEw6R7CfmK4RwQj8CVVAMidoGfevPy7svPAcYkCx6kZYiINkdEJYalLM8LOaVHdmk7u6eslFbsib3LnNUI39XEAdLzN3eK+EginhbamZlk0Y5KsXrEY9IHlGPZN9vFgp57Xnd7X0OPghlXwRkWJdMnpIDDgm51r4gKal3dbgc2sWbPk3LlzrrcMme+m/mPhfJDO/VwTJ2ROTo7jMtvu7UTw8hYc+H3vL/7CraI4WfoSIsIbY8OtCuMm1pnycl/qSAH2CanSBrTRfawZ3tUL+t13K7k4YMvD7FpFoHQaptxC1sD+gbt4Pcd45JzWN9wO+fAL7x3uaei3g/OF6R6UgFcsma9ckGMnz8jVO4UyOjpUGtGXHbpmCHUJRS9BAf4aMPJadg4U2oNl04ZHVLF475HTEktdIVjIqR4MxhqTKggbbg3bjo832sc8SVs/jP17WI/UB41ROtaaePYPRXQBKKsYSsQzJ2XJC08/gWj00XL63AUJDw2TEHBIG1tAL8vAzbOFD2Ju96MED1TGkwOCmy4HwuHDh1WRlbGXXnvtNfXyy4WPCJj38PilL31J/cj8BTbo8ePHy/Xr1/X6QICDnsjGOppkgmw+Ausk48jP/MYjzcfJhWIaSO4Ile+YsmDNVQgujuEw8ZrpB25KdXV1+p3Xe5u4XHB8WLy33j7d9/v5xsQJXNGIeFpWBTpkZnoHt1mJF8x99mvsQj0113mnObffYz2Mv+Z5xwWnE3d+c73HfOeRybVc8zt/w7nzV16yKq5n1h9zg/1InAFLUJjLBnT9RgurFytnp3y6OyVrhoku9ZWw1neOJX5asTl2mkwntFgLP41v2uvPCns/kYfl3ZK8m7snKOSPTfFuRZ1sWr1Qpk+bDEd42bLn4ClJjQxWzofrkPdEmZ7Kg5wbUphrf87NW3IJdd+wbrX86SsvSHxstGzffUjamholOBDcQgwuw63hPsK1YiASS1FABVFRG8q1AD8tqzwzNtgMisJawGGrbmyTR5bOleee2ojAyRGy7ZOdkggdqjmzZirnpmUAXqAHgqbOZXgB3Fjbl9nEnAvrz3lBQYF6ImYetIT6yU9+ov5iDMAhi5Fikz/7sz9TE3GaK9PkOjs7W8GRpwZMb9tALg0BDI+sH/WGrl69Kps3b5Y1q1drdqwbJxXbQiB3+fJlOXDggCpDD5SPG+d2tcKsk4rDzuDG/O4ZOloAp33H8u5GQm5NHfxerMXkzszIwOLBTZVLi0lcTJy/m+s9Hbt6rqvrPeXn/Ht3eZjfzJHPOZ8759PVubmfRyY/KSktk5NnLkhJWYWOR6uvSZc2CQ0fDVPuLA2cqLfrH/5m8jFXzff2I3UXwmPGY2zTzwg0HsD2N+u3xSlypT1EIViZ/ABuOCfuAdyYOzhyvDtarHaY9ctQx7TOc0dDO8/l6MmcuA6R9ikJMbJ4wRyITu7B8dspKUUk88TIEGkG923IJ3vn8QXxwLEzQr9nTz2xQTZvekzjTO3Yc1Cu3syXCAD6QLs0gOPSM2uc+9ThSLBMy0lz7gMUmWGNMpPE/ax0/zCghi8sJbYmmTAqRV5cvkiWLVmg+W7d9rH8nz/slH/41kuOtlrjfWiPyV6QQW/1d6wavX2yq/u9tBoY3RTGZ3rzzTeVM/M3f/M3Qi4IB4IBB1R4/d73vqexj379618POsAhqGH96HyQiabU69atk3/9139Vay9nYMM2UNfm3XffdVDXWFY5LnjxxHQd68u3CJ1gXiyvPWsDdtqvePJsBDbTOnBsEgEsx2aMGsB2ebIV3s2Lmxn9XZy7eE3XVL69cnFUWIGjf2AEwhKkAKBH9LIieBi6NAHBMdLaVKfPOoCDfcBxnFnXLDFHiy5K0NDxg/gKC7yl9WGeYo24CHsyMb/2XNu/tZfpydIsQMgcPd0OD9US/RIIbsKVkhr5zosrJHNshhw/eVpOnb8qCYhPREA6GDW3D5feNdJeUejLytFT56W4rFLWr1mmyrQTx2fJ+YtXZNfnx+Q6RG0xcG5HTg7XZEtcNbBARzlGEB/xZWCEfQ12Rx+HYIbzlwCJHyp551bVS1ZSnHz5sbUyb85MiYyKkJu38mT3vkNy7cZNKqlqH1rkaR/n7bOgd2T2xN2eHlOe59x4uoZ2qhk0zWCSFDn90z/9k3rv/cY3vqEcBgMSKL+k92L+fifvjuzYuUNjTN26dUsHgMnHE53RXR5GnETRGBNjW23cuEkoiiLXJi0tTScRB6WpO+9j8Mqf/vSnDhN28zt/G+g0ULTydrsof08ID5b9h07IiTN07NinZdLb1RzU/EmR+vpGiBwZRI9vj4ZGOAIc2qpvavRnyz+Nu1U1i4GfBlokOFI/NU7iKOvl1NpMrM2ez7SqAIyLNhd3SrUerMQ2Dt1Gke4U68wemwa/NnMwFlrls72H4VMYXDTW3Oq0Ae8Sbrx9pVozRNKBI/3gqThPfvKbd+XJR5bJ0kXzlZsxfeokyb6RK0dPnpOtxy9KHGyI47FeBMJyj4lzgVatA9FsNchmBwDkEOwQZHUWyoH7AsXrhuPTArBSUFkndbdssmLDDHlx3iyZAmuoxMR4qDlUy4GDR2XbzgNSVV0jCZFwqwAxVbtqQF+p6rkhwBnh6eR5cEM6eaOm9paTE0KxFKNmf+tb31KA8/TTTzuAC5Wn+CaYnp4uP/rxj+TlL3xBzpw+LTQLpzXQQIEFcmeOHIFLcoiijEgqMTFRgRebYhYI1pUcGyZGPqfeEK2oiouL9Zq5T788SH+8PE5cSUU6UtzSVsKYNr7UGQW4mNJygnPENbXC+V5LMzkvvVkIrXxoZNqiwRQT8Pz9eVubBriFsIxqT1jYR1gWLZwdzr+03+M78wYFqIh7o7xO/utTj2NzTEA07YOwNCqW0EDDzfNGqV7K0z5cOaQRDBsWQoEABSPkwx2fy+GTF2X9ygUyY9oUmTF9qkyeOEE2PrpaLl65JucvX5dLNwukuNomqWEBEhYcCCDBuWGt1SoaRX6O2YBB7Dj3UFOoFkCrrTZ87gFgqjid5eDDFzaK2ovLYLkKR3xzxqfJymUTZdb0Keq/hhKMeqgWHDl2Uj7ZdUAu5earw8UwcKaog2Nny6KmD+7M8jy46S+trJXOsfl3Nk7ocZhKt3R098wzz6h+ytKlSx3PcHEmaJg0aZK8/vOfa4gDAhveT8d5ngQ4zuDDDHjWmeCLH9fE+w2gYT3MRsIAoI8++qjeTlGb1wJmckLaaczCeO6gh9N113p77LsZH+bosYx7zoi+L6Bh1/OND+sd6P+uF+j2sWqRx306WlgJpt38Z31BFny+PQ8z9CiGwgTBT+grLMKcK9Z4td/bdQX73mveyLPvtRnUJ8kJoFO3JVMyVYm4pKRU3vsYUaMRbLGpS582g1rl7gvXYQbQjpfikf7wm4RxRa5UZAhCDjTUya/e3S7h2/fJI4tnaxDJ5OREiU+IU1EOOR5FxaXK7cm+mSeV1XVSA85mE6x2gyC2I2dHnU4C9JiXAhUtcV1HrTisnNfariqq+4D9R97P5xzcInCNCGTq4bOHZtzk5ESFBkkcvNrPSEuW8VkZqj8UA+snemIOCgyC7lypHDp6QnZA3HYpB+F+kiIkCUrgLeBe0fTbcKSsIofI4DcLQFdE6sN1z4MbVkIHlP3Y20rZFz/tcJx3NjiIaAluTCTwl156SaODE8zwfudn58+fLzt37lRxEIENTa+N/ktvq9bZ/e2LNZuNhrPtSDpI7R1m7jH1clbUpZPBDz74QL7zne/oc7QGY2BQ3ttZ2/Wm/vxhFe00ZjbmXI9O1/tTRI/PmvHhfCPnmJ12zpc9eW5N4yEymT3ZME/l1Sv6u0tHjGOVK3HRtoMnjrNOxprmiD98wybA4Zg0Vi/WVoHrrCN/71VdcX9/kqfKMvXmcQgm0pvd0gTfQ4+sWiKhePv/+LNdUlVTLRHQR9Hk6DfTmK4a0tPv5jl37sM9vK1XyQLSXJPJqRkJvS8FHvY8qL7A9iZBOZrCrt0HjsmuQydl3JgUmYZo2WNGpcvo9FQZlzVWZiKyeDXEOaXg/FLpvhgfAp+aWpuCHRs4JI0AHk3gpNBxYDMUmCnGCoQUgS9UDpJ1Vn+0i5ZKTagPAT2dWBJ8kHsWjJiI4eDKhIWFwMIpFJ9wiUOQyyRw0+LjYiQKe1l4eJjqR969WwRrtuty4dI1uZSdJ7aGeomGovTElEjUBy8IKONhS94BN/2gollHdLNFPq5HZs1Nn6IcWhKRO0I9nL/+679WCyqKo7iEclCbZ9euXStbtmyRZ599Vi2XGhobpAmuufuTTN4mj86+85oBOTxSD4cfcp5yc3Pl5MmT8uMf/xgBPi+p5Rfz8iqwQf7OgMm5zjw34jHTpgE9mo4f0EJ9hQ0YBTC+MMJ0To4YgfnJjx38t9eBg4Bz19JvuIdNlgu+jlPuEPzZG+PEKtbK22yi3ijL1N2U197wIXEGBoTUNjTL/FlTVOE2v+CufLz/uEQC2JBjgI5wqqfzudNlx2lPv5sb3bkP9/C2+8aLycPlyLUMAIEvkQyZYOrtWpK1JkOxFvcHQc+GukXZN27JxWs3JSoiVMamJytXJBlgIiEhHntNmsyaMVXXSZutHuCmBjpqNtVjqayqkWqE/amtqVXQU4c13lrvezDtRtk0uafqAp3qRQCshIWFSmREuPqiiY6OVJBJYEMgwzqznDIArRu5t6SgoFBu38mXnLy7cgci9xBwpkMheoqEA0P2WQvu54wiAV3b70K1wf3aYWx5pipDAtzQIojWOUwffvihMBo2B4bZfLnpHj9+XH8nx4YdzA9/J7ChPg0VcSl2Wr16teZlniVbm3ovBBQMCnkK8aao09IfcMO6MV+m999/X86cOaMOBk2Z+gP+sI6NcMjH+xtQfinYhXnQF6IPmd27d5vbVHk4Pz9f82QefM7TiabdmjCB33vvPdDhJOrcTmOWeejgQb2lsrLS08X78vNRQAJDYiU2ZaGERWVgg4CnYvzrKnEhHoF4PiGRY+3znT52hvTy3FVTOr/OpnTd/M6f8eJVrjutEIFQJL525RKl9OeHj0s9vJEHQQzihSXJC60BqAFQIKgJ9KMuI8BND2OGXaDrLU5IgyAAgyBca2lslBPnrsqBM1ckknEMYyIkFdZHSfGxGoIiKipK41VFImZVLPYdxjjUDzgu3G+o+9mAPGy2hg7ruerNoBxTL5YZAu4MgxBzPrRgTabYi/tGM7hB9ciDXCMCTR7LyiukFJ/CkgopKq2UEoCqe4hVxThfDGLKhG60wKh+w58HaNqYJrlzHBLghsCGH6LXf/7nf+6y3hwAdCBnEgclBwf1aRITEuWNN97Qj/nd9WjEQc55uN7jzncDxAi6/v7v/96dR+67h+IxitWoOOwc/8obwIaFE2Ax0V/F3/3d3+l5Z3/49uBJsV1nZfiuPXwUaKwrhI5DhQSHJcHkPAoLLrgy3SbObd5DS61caW6swncsV0MIEHRb/Z5+HGLtoMimGXVaPn+GjB+XKWfPXZRDULiNAbBp4W45pBOgAtZirsdUwKXir/3ds1e15tprQBzzSogO1/2F+i91EM2dLCyRgiq8JGJcjkqIlKTYSImODNcPOS4hAIYEKoy0rYYkADr+EIeReu1Y1qIlwU379XsANBaYaYREoQEfcoZqEVS5Eq5BqqprpaSiRm6UVok0NElCVIhEo19CAMQyUA/Wj/pQ7S/dQ72/etUtfb55SIAbU3t2Dp3cuXrtJYDhhtsZR8GAgeKSYmj2J+qbh7lm8uVAZTykkpISHayuv5v7ensk96arMl3zYhtMIjhie8ihGozUVZ0rwLGpBcuTdfUUjQajfb4yhxIFuGH4SW35FZiSF0FcQC6AWXzb58T9NSYzHeOwDYs2LK3UUkvnkHn2/ic8cqW7KnmkAHsm7budJ3PtU15UIlZF1cgIWY0YTHQHcPjEaXAEmuA51/L70qeMB+Ih1J0Ru7nGc90iSDPAoT/Fc4ya2FnsKuYfFxUGDg4AD/6RXgQ8dAxIBexm6MxQb4Ze0G04ElxFQ2k5Ch9nXR882gGgczTX0+rJ1qh6MSHg+ARDWTkIR/oaCsAxACI2Xp+ZGq1NUmVjABpy2qhsrAntHgnmgB8KViV8VuCBeROwmtjbv0MK3LDytBLqq6UQuSDOIMKVGN7YtAmY3EntC7o7d3v3nq7qbOpojt6thS/3h4cC1Derk2boI4Bp3stmYytRDs5AoY5eVu8BuJ2cjprGNnl80WwZmzFadu39XI6du6Z6G47Nc4i1k2s5fS6RG6+ABt+9lQhAyPGmTo5zYh0IPNT6CMW318CcEdhT2NQx8VdzjeehsOKKh7n5ffwd+008sB+66wsFUKgPlafbRli+cVjfh3ktH3Lgpr+d0d/nMY56lQa6vF5Vroubh2Odu2iK7/KwoYABKZZjtN5X22wHvX/S90TXFCDXph66HdMmZMjyJYukEC+I+w4dF0QYg+5GT6LDrvP11i8KarCBW8CmhzhQBmN4qTJmHdWR2WF4dvhyX+nOv1rn+Ksnzr/c95hbF4jxRpI+OPFD/6kDQACzhzF5GdxYo4uEfjjJ+zAOqfvbrKOAs843CO4nzkN1xTcAhlp305iosuke4kfNUuucbR/vkMtwXhcfFuQQywyZOqOu5OJRr4acig7ins4q+RAPN4ubRToxIKclqgIbpzMqDdw19p+dv2WAoTcL9yq4MWw8K1ChN5vhy3soU0CnFAMm+pKPAj4KDBkKkGtTU98kS2dMlCnwzsvo2fvg6yUqcGRHa5shU2OrIrox8mXJl7qlACnEtZfm8HQ1NVjYxuK2sTKWmI6VJqgGUtU6eQtyeQXcaGVR8bCwcCgDWixEbUVn41Gpz+YimXNztK52/NvZb7zmnBy9ioud3c97Xa875+H8vMnX+X5zbo4mPx47e9b5967ucc6L95jkfL2z895eM/eboynH+cjfmFz7y/W6cx7mN/Oc+U2PFEn4wbyyFop5rplqSb4/Pgr4KOAFCnC+WW/x1ryjU0SjkBoYMFKyS1rkv61dDuemEfLHbZ9JXlGZWuPQ8dtQTFSWpX8kvjA7FImHYkUHuU5cdtUBJk4GC9SQBATQdGhYWdck9Xi/VS/xuE7HhWHwLRQZaoXDYF09nbwCbkhN+hiIS5/o6fr68hvmFCBb2fKW6QM5w7wrH8zqe36NHRQ6EbjQOVwjLHEq6hqkoRlgAC8YEfCHEgEz4gBY1lTi+isbl8KFfya4NjehRHxZ4sJh+m0scAal5j0XSs7NPbixppIv9xn6tlEA1/OjD/wdxAhqJ+UMFgZpqaWydRNAcgj8BG1cNA+BPMdLXGyM9lsJDIcuXLwqJ87Dp11zo1qFeXrceQfc2IeQH8wI73v7f+CHl6+B3VLAedJ1e6PvRx8FBooCg4BovFQkOTV8W85H4Mva2haZMSkN3oaT1AcLXVCUI2zA6et3pBxmzBIQKGtWLVUfY5/s3C9+cAanGyNA0HBIBDmtrDMUZ2mqzXYbPZzh0QLPUZk6w9aQIlfLc/n2NSda4NkArBfOnirr1ixHuIg4dUzYBOeE7LeM0aNkwrgsWbxwrny6az9CRuQqGKd+kKeSV8GNknsIENpTxPLl46OAjwIPIgWct0Kem48XFy8CCA9nz829BQCmFlyaxxnteupE+OGKh9v+cDiVw1KP8uj59mn4ZqHrfoqiUlOS5dTpc7L96CUZHxeqSsTDBNs4BiI5wfT5cg8hPcjFMaIPxw0P8AmHEMGMN8Q6fSUbx2EjfP8smjtdnn96o0Ri/B1CdPITp87Du3Kl+uFJToyTRfNnIUDpLIS2iJPfvfVHuXwtBwCVDhg9MzG8DG76Sh7fcz4K+Cjgo8BAU8CAGpbLBZbfvZQ8s347KkeOBd+I4+JiZdP6VbJg3mwJCw2Wu4XFcif/LsLPNKgH+Hj8TjHU7FnTNWxA9o0c+XTPIZkQHwpfRJ57a3ZUbMBOLD80arwCayqNhTVgZQ9OQRxCRq9mcGpwf6kENqR9IsJUPPn4Ixqp/PfvbpXfffK5pCCQJx0TMjHa+kdHL8przxTJs09tlKc2rpOSsncQnLRMuW+e4D75wM39/eO74qOAjwIPLQU8jDq6oiNxk4eKorI+cRi9uz+/+TEFLtezAVrA7j93JUfj3lGfQfVSsPkkImzAo6sXy6NrVsKje4hkjkmTWwi86M+3Zg3J3lWlh/51Ajz6dmlqRkgfOrGzE9mLMHXAiWING3ooHvCieyyQQ7GmsUWeWjIPwUcjZc/eA7Jl52GZGIegnxikhsMUhBunhgfLz7fuAiCPkVXLl8jCOdPkd1t3SiKut0IJub/JB276S0Hf8z4K+CjwAFFgeG2D1LFhjUcEBAPYrFelzf0HDss7H+6QBoScQZBoOOS7BwVidhG2RbhkqETgxbf/+JlcunxDvvjiZnlq03rl7Bw4esaKjv0A9KaCHPXQaxpjwZzh1bum7taRoIYcDbbNAjgdfx/sbwTZDFlBr9HTp06SKoTyOXj8rCTB+zLFhs7cNEY65NiNkFY5d+EyxFMzJT0tRQIRdJTjlHmxnf1JQ88FZX9a43vWRwEfBXwU6A8FBmr369+6rS1UUINNoBaKmxvWLJYpkybAAuWK/PrtbdJYVyv0Ba0O3MjNwOaiH/vGyKjZx85elLf/8IFuRusfWSnR0RH6Zm2UcvtDxsF+lts/9W/CQkMgGglVMEDuVX83zMFoF4cKOR7O/eeReiBjDwxDR1UwFFXnKyQoUBLARaxBuJXDl25JECz3XNVoOHbZH5FBAXI7v0gKCopUhBUfGabt9MQ0xDi2fJB48uhore/ERwEfBXwUGFYUwHLPVVr5IZ5c+j1PBDpna4YIJhqKwUtgalsOReF3tn4m/m3Najnk/KbsXDo3+EaIbeIiQmTL1kNy+OhxiYmOlMUQC5TWNgHsDP93XgI0AjtaUYUjYndQkD+4Cs0qqmq1AzxnmgzVc4I0BTb9ASKuz9qHN4c5931rrHuGAiCtij/phkCd+MK/TVf5cxwSgDKieWNjI5wNWhZvnqkJ6uGpjHz5+CjQLwpYM42zzffx0WBgxwAHLtd4++GeetPmSx94H97oC1OQ2Vf6eOTG1AjHaHOmTZDwiHChcvCJnDsSGOivTtK0Td3kXd/YLKPHRMrBo6cAjCpk0sRxGvm6paXFYVKtRBmGfxhN2wbvy0wpSYmSAqsxRu+mXKcV7aNV2VAGOYTVDlDDL71IHBcEF1TupfVRAJR4eW7Gg+q9hI2U2jqbVFRWgS7NuN9pAnQzZkwenR5RRwLjRtC3Glyb4OBgyRqfaOnPuOTJJvFejsGEuGhJSkqQJgCcylqbiqt62eROqeMDN52SxXdxICmgXEMU6DL+fd99NBmYMYDNQN9g77VgwQ2W4LBkuIAJxUbYjOv2IISe7AsCJg8kvtXzbXf8uLHS0NAot+7kS2SAZa3iTvbc5AIgMrh8q0DKYKKbBp2HrFFJUlbToG/U7uQx0Pe4u0bQYSFNxLmBUpdj2cJ5EhwSpuOJmx6Vjgly6PtHN/uBbkg35fUH2BDE0GKssMompbZmqWpqkxvweUQQQcDDoUdl61ExoXL+0hWNAE+OXzAAcX81efg8nUfWw91Adk6uOuxbNHOyVAFkBuM666ZrPSrBurDMEluLTJ6QKYkJ8WpBVWWr13s8IT70jkKxffJyILKjPDOVuxkNXZTjXLbzeWc58XfX1F29XfMz383RNS9Pf++pHPO769HUw1zv6ru5bo68n6k7mvB313x5zaTOfjP5mnt8Rx8FBpwC2OQFXJpGW7E0N9VIVPwU7H7PS2XRMamvzcNmwVHPz9AarfTQS/2GmKgoseEtvLikXCIQF4rNcTdxwyksqpaa2jqIpqJhHh4llVUNkhwb4W4WQ/I+KrCGBAdKQ32j2GwNsnDeHCkpLZdfvbMNsbPo6NASWyn3BgS7h82WQSZ7Wt+81Vh2GfuNAKE3/edcH267FFOGQQy3ecFsSU9NAUgdKRXgyp2/dE1y7xRIAG5SUIv2X7txW67cuKWeqy1Q5Jxb789Zb4pKQwFkjp48C07geDjwWyHXbt6RS7l5UCwOgjsCcENxH0WG14qqZPW8ybIallJVdC55/opEw4P2kPZz4zxAnM97Ty73n+isHOdrzued5drT767PuN5vvpuj6/2e/t5TOeZ316Oph7ne1Xdz3Rxd7zfXXY/d3dfZb51dc83T991HAe9SQHcVsMXLpCjnQ4lNWSoRADghkaMAcE5JdekZaW6ER19sfn3eeVwawHGPUvuV+Dw3JXInaPZM3QVaoPQmZ7W1qoeXX2yKtHJRB3hwAjjc5yWVVbmRNjQ2yNnzFyGqC5QVyxYpbd7c+qkEQPRI7gHvY9vJ5WljKAfQ01ig9atzevEw+5GAoz/cCnJEOBbSUxPlicfWyLSpk6UNYrhmeHAOg0L1EnCutn+2B9ZLZ9DH97Td4G2Jvx3s9KK63d6qoBLg5vTFazL5+ClZtWKp/NmfvCg7934ul67myM2SCh2eGYkx8uyCOfLYupXK4dnywXa5knMLHB5/tazqthA3f/QO58bNwn23+Sjgo4CPAkOFAgzKWF+bL4W52yS8arJEJ86R+PTlEhaVKRV3D0ldVTa2A7D9WWF9ve4vPOlfy4ljGpubpa6+Hmz9BHBwIhBDqlU3CHcBDjfV8Pgw6EcESR24N7UUC0QGDjlRTW8ppRwQcG/YTaXlZbL786Py+CMrZM3KZbAKi5I/frQTVjqFEh4M02PcpB6OARDpX4XhHAgUjLi8t2W7ez9HDwGNObr7nOt9FhCFiBE6Li89uwliuFQ5fvK0XAC3pqkJelWjUuENeLY8s3kDOCYt8sn+45IYGaI6SP0BVK714HfmR1oGYXC+98le5QZu2rBOsjIz5Oq1bHDPSnGXnyRBByoZulBNGL9bt38muw+ekCAwdVpbPDenRsYkjflHVsqXfBTwUcBHgYeeAnyTxQbQWJevH/Hzl5CIURIRN1kCgmKlqb4Igf6qwO4PHHRSkcNQ39QqY/C2PnFClpRC7LL/7FWJQ6RlbjA9JTRVN/Y4WEqtWDxXOT97AAL8VMGU4q2e8+ipDI//7kadCErIkYmLiZbZM6dJPfz97Dt4HCEnbkoULMumg6sxc9okFbtFp6MAAEAASURBVOkduZgjtfDeHBkSpKIq1pftVj0cloW8mJ+nE13UsRxP0Jj1A7NNls6dqc7wTiKcxvd/9qZUFxfJbZhY7zh9RfybIJqbO0uCg4Jk/6kLEh4Ibh9o5I3E+nBsNgKoLJwzXZKTk1QHh2SMjYmRKIBLcspyb96Wj3fulb2HTguEURbA9GCFfODGg8T0ZeWjgI8CDwIFsApDBNUC/Rtb5VWIpGokMDhOwqOzJDxmInQzEO3YdhcLNKxvBtHglDoiNPemddPyJQtQl3uyB2KHKGxcbmAbWNGMlOziatmwfK7MnT1Trl2/IdsPnJRYgiM3QMSg9LQb9eoIbqZA56ZezsP/T3FRiRw/d0U5BKPS02TGjCmyYsEMiUaU9Nz8YrlWWC7BsBqipRVFNvpfAQ4xjgrw+t1kwkUHeOp3bqZe4Cf6B8rGdeAyQgS17dM9UlVcLPFRYQh3MFLiwwIl506xTJuYKfEJsVJcUCB37pZCbEflYw9UwiULivsq6hplzZI5snzpQrl05Zr87b/9u+RkZyuguXD5KgDNMXlv92Epulss4TDTt3SfXDLq51efWKqfBPQ97qOAjwIPGgW4sXHVB0jApwo6N7aqaxKTslyikmZJ/KjV4OaMloqio2KrzsV9WEZVH8c7b8JdUZebJK1QLt64o8BkDCItP7dqgXy67xg27EA1B+9MOZNv0ARG9AWTjgCG3ICoa3IKTv1gIdxvMUlX9R3M6+TkUDcJcFB++B9bZcnpC/LE+tUyGY4PN6xfqx5yc2/lgQYXoGSbJzUARDA8UxEfbHvAwDMcHDsXB7TvDS7gcIILQQU2OrTcJAb7ismAKz3imnHox9+YH8VoFC0yhlhTcxMc5/mrLyOCX1qHMaZTHThYsbExEhYSrCIpWitZvc1cPJOoqM1xmYTYUiuXL1IOzSc790n4iFYpA2cxH2CGKQigKz0iSEF4C+qIFup1T/7xcW48SU1fXj4K+CjwgFGA5tYMYAC/KdU3pL7mlvgHREhYdKbq4owciUjajZVYxOuxPgMZ6G7Um22v7+RiKapQ7HdP/ZVMnTROMseOkYqycjl/s0C9v9LHiT8VhXnEBsi3aoKaFrB2Gu75y2tf3KyejU+cPgNQdFSCsYm7w/Xpe637+aQbyKAj52aqcm7OnL8MhfEmbRv1TepgXbYNXKq8m7kAAgGIjp6keiETx2chsOgoSU+Kl4jQUBWVVMPiqqCiVmpwpAIuQZLSFEfSn+cUw6i1FX43QETHAoEIgQ3q7SyCskCKdS/7g+CSwKBD3uAimTwJZurhibqirkEqYOLt7+8PDhNEhwAGzKsZIqAJmaNkXOZYyYFi7v4LOZISHaLAR0MiBAbBi/VyxBlrkT0Hj2HMNmhHeHqkkh41EJVuRvDWGVOnyKkz5+STfUckEHVkWeSKcSwSzKieE+iiPDH87ukEcJPxjxZqYuae+ni6mr78fBTwUcBHgcGiAJZlBvIDeGmBiKoeisU0GQ+JSJfIxJkSHJ4KRch6/FaOzYRRcwByevVe3/d2cdNkwMsS+Klpha7MNMT0mTV9ioxsbZI7xeVSVlsvJTU2OEdrUH8jNmyQrdhIskanypeefVyjh1Ns8Ps/bIc//CbdcPpemwF4sh/gphn+Vwg4yMUh0IhGlGr69zl69rLkwAFieXk5PBkHyfjMTJk7a4ZMnzJRCBizEFg0PSFa4iJDsTmDI4Lo6XUIDmlDfjXwL1QL0NMA4ESfOcxXQYx9r2b/EHzQ746CFwIYfKyfubFbwIf6L00QL9oa4JsGpuuV8A1jQxmNyJO8lxAoCyfB2V1WeorMh9PG+bOmqk+ZO4UlClipDE+rr8UL5gkjv5cW3pXyahtALPiKAUHypacflRVLFiGO0yX59ZZdkh4fAc4Ox6rnEtvJ7hmTlgzF5ifgUqBK/vMP26SlAcAfSWmjR/3q+OMtcOMTSzlI7DsZXArYV4PBrYSvdB8FuqaARirmWzI8qRaflAZYVkUnL5DI+KmSMm6zVJecl4rCo9JYX4I8GACQqbN3486uWXf35S/fgLl57jl0SjeXJzeuk1defhZ6NDPk4uVrkgf/JvT1EoQ4PvRlk5U5RgMbxkCxk8qnb27ZLrbaGuvd1lGBoTof3akX73H+mEaZaxY3pRk7PzkNoeB8Xc3Jk7PX4Ysl5rSMz0iVsWPSZVRamiQlJyLK+gxZtnQRHCU2SElxmVRg0y5H8NHKymoNDllZBd0scILqAXAIcggabLBSIseEHJc6nDcAvJiaEwDQF0xooDVGAsCFCYJ/F4qSgtFHIRAvhYeFqP+iaCh7R0dFqiIuQUsslKRDES+Ljvdq6+q0mQQHyE4uXr8pe/YflJXLFst/+doXoetyXa2RRsF6aib0ixiGIiwsTCZmJIODA0eNaHtnYktDrd4eScv6Nj95csMjEhoSAgeBByT7TpEkRVhiMJcB5pK9oY7L5X589Rs7fblnZxoqQwTnSz4KuE8B33hxn1a+OwefAhyv/MCjMXyjhEZPkOikeRIaNUaaGyqkvOCI1JZdAoeAnAL6xqFOgfMyi3O+4Xu4IdxcWvGWPylrNBSM50FElaEbIf3XcE3mP3IXaH5bVlYmx06dkwPHoE+ETTKAz6ruA9dvig2GYgLN7HXsrnYU81CEMyFztHzlledhRVYmv/79+wBwtWycchCcnydt+Az+Qzm7VYpr6sGZaZOxKTEyOiVBkhPiYGpPYBEjMQAXPAbBeeJI6I0EQKTlD24O4yjRESKDRdJbtA3m+c12D8jUg2kBzU1iv9NqKQS6LyybPnjImSFooUJwKMRhBDzsKyqLMx/mybwJasrAYSouKZOcW3eUY8exxLqz/6lYvGrJXJk/d4aEh4brGKP5963beQBQQSqCPA8R3X/84SPQo1rBsOl3U7++HCmWA36T2dMmyte+/DKso27Kv73+nxKMAK3kSBHQdZU4k3SedHVDH6/T57Lnk9bW89n6cvRRwEcBHwUGnwJcNPGBmXgrvBfXlF+C2fhdiUqcCy7OdEkcvRY6OeOk/O5h6OjkYN1mKAeKK2hd5b3ETSoAOjPnL2fLySu5Mn9KlkwcP1Z9inADbQOnorqmRnLz8uGxNhtiqzKJgnMRAhsqdT6syzbFJcY6jNyM9LhIFR0R6NyAZ93D57OlqbZZQqJDJSs5RhJioyD6iYHzuWj1mUMP0SE0JQcg8SfYBdeCsb4ImJgILgk8lMAcNrhMcRX1XzThnLGuKFqqqKyEL5gyBTPsqwpwh0rBJSorq5DSimq5U1olpZW1KC9AEunxFzosTMhCxW0j7zXJtl2H5PSFqzI6NUn1gcoAiLJv5yuIevX5TTITYssv4oFfvrkVEUagewMw2x+zcG0n8iMn8FHo9VC36QCsoWoAJgPDLb0freQA//GSWOphnSYD3Hu+4nwU8FFg8CigHBkU7xcAZ2k1Upq3U2rLL0ts6jIJjx0HD8fpMMk9B1HVIShwVmFTC7LXleDIO4mikBCY1gJOySm4s99+5JzcgwdiVb7A2zXtoKNCIZ6CNVUMjtzUuKn6VmyrPwg66OmZiVyVYIiOMuIDZUSCFbagDht2RUWVnLuaK/VwmGhD7CalLcRJqTHhEgu9nGBwdfihqT1jfwUBWJITY2jMfMmNsUHMxRAaBDYNDdSxaZRqiA8LEdurBbGgoL0sEZA3hUABl9ZFatYd6i+J4TGqpGx0h6yaW39Z/9AAPykuLgGIvasWWsEAV6EYEy31dfKL32+VP32pTa3DXgPX6fX/eE/uNdoUfPWVg0MF4bvV9bLh0dkydmyGHDl2Ai4JzkscgA3H42Al74AbEFiTHbkOVuN85foo4KOAjwJep4Ad5EC1F6z+AmnKeU8iq2dLTOpiiUtbKqGRsGC6e1Rqyi7oZgOVUlTJVVTluVpy02MKxYabBQ+83EzNxsqVmRsgl+jB3Hi0gkP8j+Ho2MmpteWWFgQT6mCAhRh7/UlfTWCiNNRD9wZiPtJZFYtxBH5Rmls3WX/5jAnEDRgF/RcLTIXiYlZ0ML6Q48FcLK6M/QzhFNC33eAFPtPSCts+ZBgZYjma5DX2tdYSzvx+9faH+vuSRfPlqxCn/fy374nfPergAMCxsvbEZqnLALsCtNbH3laOIYJillNja5R5kzJl8fw5EJcVy859h8W/DSE92rwDL0z9ejp6pXTTKY5O76kWvt99FPBRwEeBYU8B6j6MxKLupwrHdZXXJDZthUTCu3FSxqMAOaPAyTktDXWFck83CeweuoG1byieJAE3IEvtwDv5e7KuwyUv7S4Q1TqaWoO+6E8yxhRI2sEAf1VA0eHE/ozpGvtXc2j3LN2/PuMe7MjBfsLxQADj39Ysv3rrAy1y+rQp8uLmR2TLhzulFSIq1csCaKG4i3VvAiiqg+l5E0APXQm0IA+ChjCAOypA81MB/aS1K5eoD50tWz+SK7n5EhsWDEBlgWzTtoE+egXcDHQjfOX5KOCjgI8CQ4MC3PiwqEOPobmpVopvfiK1FXAACIXj6KS5ADgZqnBMLk4LNhkrcRtxbEVDoxm+WvSOAkQ7+r9jPzq+OU56l60n7ibMYfWYyJmhKHJEW6MCnFdfaNOgmiMxXn+JiOnh/gToGLu4pwX6ZKEhoZKSEgE9o2jVK2qEuIxuB8qhC0TLsOKKOtm4cr5a3+XcvCUHII6KDaO4cxAbbDWVrhftZ76DjwI+Cvgo4KOAByiAhR27Cb2YEOjUll8Ft+aORCcA4CTPk5TxT0MnZ7KU3tkrtprbyu2x3vEHf0PwQOORhdlUHpT2uEkV02w3bx+s29RbM7gwzXW18u4fP4XZeRiidy+BPxx/+T//CR0c6BwlQGF63cqF8Jk0FYE309RpYCN0gmgdRq5QUXEpQlpcliMnz8ua5UsAgoLlg493wVqQPm3ssbkGq4H2cn2cm0HuAF/xPgr4KPCgUsC+uY/wBxenTkrzd8PL8S2JTlmIGFXjJD38JSgbn4Co6qQ6BfSD9RUhkWU6Pgxpgjd+ijXutcEEnu0YEcRvCvCGYWsemCp3xhe0LOtGwnquWn7zNpSMvzBCli6er22+lVfgEDMxivexE6fh06dKGuHVmOAmMjIS3JwURBqfK2tXLVcrrAOHj8qRC9mSEh7Ue+eAdj0eTxPcq+DGiJU7VBpj3o9yP7sJm/NvyjKDvK+/iZ1J8zsUwymmiWw59SBp/+47+Cjw0FKA+w4mB129OyfOG8r8+2o14ZxXV+fUSaDsnmuDmZu81525T3NajV1jz5z1pR6BUaC1Xx6CB1gjQRfHzy8QCse50ngjX2zxs2E6PhOWVQsRxmEs4lSdkOqyM6h7INZHgBwvm413SyQQtnf7DR9AKIDWRvhZCZKwuBl4PkDqKi/Ba7INP0FBVpWu+7G2Y7BwDfelPlDA3p+u9ONcZ3iOuuoqeeOtP8pXv/CsrF6xlHBUSuBHhw4BDyEQ6/5T2SKFFSiYcAHazPDDs2BRFiJ+z9D4URljRsGqLFBiYR0l8GvDednbrgIu9njyamwpgpj7Ei7R9K0SbsHrYP5mPjac826az/WWMK5lcMGrgUkdY4KY/Gl6xxggPiVnV2r5vj90FMBEo6JghcscrIWjMD/MnUCYrfZ3DnZN03tq7koX8zbI7838JKub4KW7+UkZP+tsnmN9CWw0inPvduOuq+fVX7DwE7hgj2+ova1BN0eMhE+U6AyJiJ2EyOMJ0tpUCS5OGWqBjURXfO/1RFdNRTe4n7SO3NCaoE80XhJGr0OA0QUSETdRg4sycnpzAxSoEZbCDz5grNSHNpmtxHWH7qSmHEMcF3ExUTJ7poktdQV0tcIvdPKIRy5Z+52pqEey9GwmnZCdLxXcc/NKqmRMaoLMmTlN42797q335fX3d8iIxnpJgvVWQmq0xKdE4hglCfGh4PjUyQn4Srpw6aqkwMkhA5COACCniTws2JHcpwOnrjemr1c5N649wwZQmSkBkUmnIzAZB2H7WL0nldW1crfQihrq+qy737lIhsLb4/ixo9WLJPNnuY0Y2HcRh6O2rr7D25+7+T4M992/sZCl/DC0/OFpI5cccmYsr6txHRrO/q+Gl9Xbd+4q17PDjx74Qm6tPwL4ZSG4I/2AcGFl4vysgvdVyvHpOK2zxHGYMTpVYuEorP05P/UEe6egSD25dvbckLumHAzWaqQ0wZtx0c1t4HBch8n4Migdz5YQxKmqKDqFUA4nwfVoBIsN5rw6CYfaRCQCwvrQ2iCBIYkSRX2ihJkyIiBE6qvz0EfNAG2ZEhyWDI7UWKksPCYNtnz0NUMOWM/2/v2edBvKibNreCVyQsnByUpPkoXzZklBYaG8hXhQh+G9OpOBN9GcRvjzcU1cK2LhK6m0pFR++Z9b5L98/YuyavliuQbPxGfhQDAY+js0SR/MNGDghs0MwhvhpfxS2bxhjXzxxWfUsRHBCAc57eVvwXPmj1//LVw331I02W4W5x6J+ObHN8LJ4zPl29/4E0lLSUbHwSE5OuLO3SL55W/ekj3HzkpydLjPx0MnJKWTqCAGKbGnBrgw5xu+Lz0YFNA5iEXnUm6pvPT04/Lc05scQJ/zkJzN25C3/+9f/k4uX8MbGMCImhP3s/lcCMnErUYgwO/9yQsa+yYQztHUlT5+4xJAuf7P3nhLauGVlWuBATAsmuPycn6V/MU3XwUbfLEDyNDt/ZXrN+QHP3wdOgGV4AyMQF5s5XBIrCfqizfc2sqrGm08KnGexEDhOHH0agmNGA1z8hN6vQ1WK1YaKm0jOEFcppEBEh43HeK12QgemgawVi7ltz8DWLuMfmgDJycTvn6WAfjMRHtGSWXRaXhzhpVYM2IiOd7sh0qb7CTu14FtYV8NjzaZl1lG8X5xLRxPRkTIrj2fy9b9xyQ9IghrPwOMdk4QzjOCl1C8pFxAXK5Pd+6T557aJMsWzpML125qEFfmP5jzccDADftbQ50X10hyksX+4iLmnMaPy4S76Sp57R9/KGMi4Nq8l4OEegT10PSOiAiTqYjoOhoBw0yKjoqWqMhwqbQ1SVosNMW784RkHnqIjhyEl24g4F/5TbSaIxp9kzxWxiXjTRnfzPKKU18arhRAt1KEI3DhnpaSpCxo16ZkjR0rpWXl8uXv/0+ZnBCGBa6L1c31wW6+EyTRidjMiVny+KNrEd9m/H13l6HMERDZcEWwXM61l6v6eXdrJDNjNCI1T+rwLNZPteTgAB0+24rZ/tBG/oe+CuNQlRcyXAMUjpPmQ6wzCeBgNLg4J1XhuKXZppRRM/MOFBjILySy1TvBocmo5yIVp7VC14YBQ6tKTik3ynBmauHnpxE+fSLiZuLeOZIwhmEpsMbj3vqaXGx8BKNcXdr7eiBb4/Gy2AwE4RwuiXOH4rtohIqYPHE8QjyUy479RyUNSsH0UdMVsHFuH4OEjooJk30wAadllc7R8Rmy6+hZSYPH5sHk3gwcuCFFtN8tL4hkPwcGtr9pkZAMHsaIpq8+fkre/3SfRIcGKfGdidnTuS5wyKzVznGwvChSBovYHSyEPepLDgoQXZNGkZER8j/+2zMyFbJT7hIEO6fPXpQ3YSpImEkJwmCicEeFfSf9ooBOQXQwOSNUsKfivaNf8WNoaLAsWjBHnls5V06cvgDrCDqls57qS8HkmpL1faW6Uf4O3KKxUD5kcpTJc3x6VmK2ximf5Xhl4suRFRPHql/fa6nZDdIf1JrrEvqENLHV5EmjrRiindvqFyceHo7DGacq/4DUVl0BrQD/lJPDZwaqxVgQuG5Cp2IExEoENdHJczE2wsF1ygFH5jj0h7KtZijEtPqHordmKBRXFH4udYixFZ2ECOoxEyRk/HNSXXoB/n72qpUYY3RZD3u+PQO62g9oYewSAE12jdKco8FSI3CeW90Naj7XAJHTzDFpCLIZKpevXpNzB27I5LnJiEPmXl+wLPBlJb+8BuLsfJk2dbJkZYySDz85KiMQo+seQBLrOBhpYMGNvYVsq2GJtR+tH9NTk+X5zY/DGdA5aUYsDIqael74XEjHDu9A0I6DwOXuh/orN58moPcogJtHVi+Hed8cpQeHNoPt/XLLJxILEMp7dA1+qKn1oDXemiRmDtrXSBkzOl2efWK9/GHncZmWHqULoLsLpiuFCGzqoTj84oq5CpoYCVkXRIw7jiedp7pAdpiwrtl0+O6ob4erw/2L2Uy43rWAY3MEViw3IKZaBLHOdEmd+AL0cM5LWcHn0lhfBMLRtT5o5tDh8Vz72+c51028gFK0D0wVGjVB4tJXQC8oRZpsZVJcsBsg5RTETOAqqS4N22DawfrgHJndA3ipr74jTQguWh87DSBnvoIjBhetQAR1zQO6O37QL+qWk+OcdY/Ntbzx0nQ5CBG4ydV/kBK5mZw7VB2w4cMUCpFzCEJukEzuhdZAWAbg0KTEODjka5S7RdB3jQ/o9csMywuHFnEh9G+aoNsaBVNxiYLllE5w1qzn1D7mer7X3TsGENz0PDK56PFNchY0tr/8wib5r//8c5k2Nh4dSETa8/OdN9p1UPc1n85zH/ZXQZ5mvMGHYgGIDA/X5pDWJDffkAFpcM2VhsO+1Q9pA3oe++z7YIyFubNnyFc2r5QPdh6AtUR4731X2ClMc/Ocqkb5fx5/RFnW1mX7eHIZVi5fe9FH1pP823MLe5GtF2/tuq1oARsxIhgiHkSIvvUJRDi3AXLmI4zDRFXQrSo5qwrHLS2M6AwFXQ+LdlSyolZQqAd81oSEJEuU+uaZoHpNBFmVd4/BrP0WvgdjkzV16IJgqB/vuQeOE0VX9TU3JSppIdozReJHrZCwmCzkd1zqqq7iHm7a5E6RCO292X7WRRn3XbYoTHATBid1QThWI8+RBNX33Tu8LhDY1MK6GHxXyUxNVO/BbBO9Bl+9XYirrcAWQYh07vRC6tJoUoecG2K+CIilKNmoqqqBQz8ATP2tFzQBXUPB4bXBWKcBwUDpDDAGca24llDM7E7yhjRvAMFN19OZjVfa69vcPYmNiUbo9JXywslz4OCclaiwEMj+LXTaM6HYZc5luXaV82895/ag30FaURs+JDgIgzxCm6vryn0NJ91cZsh99/guDG0KuD/2yb15/NFV8utPD0kKHiOHr7fKxTQxLa60yVfXL5P5c2c5vJt2x3khk9v9Wg5tave9dphnEAGREtweasovgvORDQ7OfICC2RKfvlz1cSrhAJDiIH0B8ZhoB9QnS+BeswQERkBheIFExc+AmXo0AkIWweoJIKTyir74+I3g27m7OjO4D+CGYKi5ySalVDwuvwIOjuXQMCgzCe3MkmqNvVWAOsCwwQnkmDHh7grkj127ERwNcmziEDogEht4ETgL/to2d3Ppew9640nOG85DGi8tmj1dZs2YIqlJiRKMtZstaoSrhLKyMlgrXZET56+KXzOs7eyE8yN6sD/PfAyzoLahWS0OacbOPaAWmRtau9sGjlOKrgMAavwBIglMqYzc3Tx3N+/+3OdlcONKJn7vHMuZO82wmwQFpxdgzbH39BU8gyVPO6SnpppceDTnrs+Y37r63fX+9u+66eMxPslBxsT6Gk6H/ZJe98Yfls8ySAuW7igb51Ztel8q80LcMyD2ENW3sHKw6G3lypxNaX0tpff1GogndKy50JQbuHM/e6oeWpadktp/ICXLMWOHJB4Y6rKUzuegaSvrFIhFat7smfLdZ9fJ/37nY5mQSPEUfJWYm9w48g2zDhpb69eukLFQBmZi2x2JRHF8NRTir7zo+MF+zjo7X8PXDsn1mQ4/DsEvzu3tqnocINjJqHDc3KwiqbrqHIlNWarBOIPDUsAJOQuF41PS2FAG2mJjURq5k7drmRb9oImFtW2E+qyJBrcoPHYCfO/YpCz/sFRRBNVYgyJYDvpDgQ3z6a5fXMrRycVHAqUeEdQbcz8AyJkosenL4NBwMcodY1lVlZ2FVRwcAIpzm9xvFzmGDU0AaJAEEKhPmZQl52ABGBJI02eXOg2Tr+SyjICF4BNrl8iaVcvAUQuWO/l3YV18Ey24J6mwDp6LOTtt6hRJTzssH+3YLy2IAs5ET0QNADKViOBdDeso6rMmREGROCNFoiFGSoyLkwT4q5HiBhmZEg2DG/cTp3QNQBFBZFgIXAHUw4cdXmr84B+H3e085TvP1Rp7nf/W96teBjfuVYyLKVEnkZ9RcOT5ooVz5StPPyo/+PUWmQqC18OUtGdCsUz3J0FPNWROJD3NUQNZP4wwVcaEHJodp15TMZG4KfJNobem0wRJzvJg5uOswMnyeQ9NtFk+66LK0UDKpmyazFP2SvESf3cn6aaKGxVxw7lWLAamP0z1mcwGRFoHYnHAf2xRaDe8Tzon17qa31gv135iHVmmu4nPU2HUuT18mqKyrrJhvUlL8wzva3NmzeJ5UwNaDZGePLJeVExle8htYLm0IqCuCI+ubXG3DbyP5dEjb1CgU1kU9+FD9rslO4feExTg2Yfsj/6U15u6Od9raOCP9jPx++hR6XDDvlQ+3HVY9UA4Dt3tw2CYel8urJJvPb8eXJuZOlbNszyqpaTpKOeK+M7vp4CCCBAL3JlG6K0U5bwvdQzGCTAQl74MgCADSrvH1KSc5vXkfrUDj/uzu/8K88a8AZAKDI4Fd2iucmtG+odITeklqbh7GLGx7lrzboT1Zt4+k+7Pza0r9ja1YX7VVIAzBREXTeGjYFWVOPZR9dpcCa/NNoiw7mFOWFwcAD13Ex7hXOZaGRYWKmswjnNu5smlqzd0znFeD6ek/mggsntk+QLZuOERKQYX6u33PpQzF69JHZzVciqFgvMyIXOUbH58nfqc4dr3BnQm6Ra3FVyzNPiXmzopVpIAYuLjYiUOn2g4Ohydnoa5nqrgKGh0NIYCc3MvmVv9/QNkFPRlqS9WUEidMPtLonvZeOWuIQFuuLHcyL2lGxGtdbjwcQFMTU6UTY+tlaMQT125cVOiw0PdVJTyDK3YxQQ1TAUVtVJ14y7OwOqTBJEsREnFhlVfXCtSRseDrRKZmSbpcRFoh3sKXdz4KG7jROM5OYc0l6e/ESZuJpyg9NVzMQ9eS++yfLCC05Lg/TMIZeMtqpxlB0jKpBSJjQB9kFdPCtgEH2wXgQA3V26s0VFR1obDgpFYH27AefAIGxw6Uhpwj7PfIdaVb0fcDJ2nAvutHkBV77X/YOioG5rm3vMfBWxQciMttQAc+eZC0Eu6dJa4kLU0wrKLP7J+eID0M5OVx0DUmderIB++ehLsbyH9YkVGxQs8T4lchzm83MYnWTKmp+mCwT5Cs3qdSGe6N6/F29K1s+i7VpYVI5IaJ5FwkFVtQ5C5m+W4hr6NTobjyTgoBGIDw1uQAQK9LrSPD9ByqgAONMNCQ/QNjNlwfFD35pn1y+V//ep9mTomzq0XDPYPuygFgHnNiiUyBiCJ7SH9+RJDf1ZjEIwvCD4yBrqdfSTPEHgMAxA0vAdAzPWyuuycBuOMSpgjkVA4Ts7ciGsWyGmyYQyD29Otcq5pEfLjbBqBNScseorEQkwUFJ4MD8qF0PfZoQ4GaeptTUIcFJSYh/t75KSi6A1WVeAOlRccEFvVDYkCxyiCVlUR6fD1cxqcqROY17VoO+eyey9JfNELhnJtHeZYNvaOGKxvz23eIG+8+R7GX4Gu3TRj7su87rLVVnO6/LmvP3CN5ovW1EnjEB5hCZxdlshvES7hcnauBGN9CeTCiNQMLs3xs5eksLhcvg2neutWr7CcYmIRTYgnmIlRQBMK7gqd2tbV2aQGzjPPXris3JakxATZvHy2HEMwzEDk6w4A5Bpnw5xeNC1TsjIzJQ8OQM9dviGjEyN0H+I6MFhp0MGNjgdQoBSywh17Dsq3vvYKEGSS0oOL4azpU+S5J9fLd37wc0lAJysQ8OiI7Jz07DT/kX5yvbgaHNQgeXr5PJnxZxPA7kvBBhCqck5u1lysa2trJR9OAs9A1vnW7uMSDaqmxlIJs/s3DXINUhLjJSI8zKoEBkIdNt2y8go7h6JNLt0uk4z0ePnGc+tl6uRxkpgQjwisIcploWZ6Dcqm47XDJ87KRwfPy5i4YGzIgdLUTdnlACyl1xgrhL4zAAVS0yUZA9uAKlaG/I8IKBhvnjcVkwaLGzqKnA2T2Dcsu6S0Qt+OOIb5O+W2GWgTLa3MysENrAQ+FCqhsMbnukv8tRX3R0BMlpSAOgGcWBuj5ZOBXmxram0AVuQiOOd0T+LxFkJ9LfaLbqRg5ZeWVYgNCxxpzbxzyqqlobwFE3+6fOGZjZIJs8WoqEhl8Y4EB6uurk59LXGj333wuBw4fU0mpcVICxYIdzdilk3wWFvfAI+dtbJq2RR54an1Mg6imWh42A2GywMqOra0tkg96ka/MlewUO06cFIuXsmTSZnxCuqcwaRzS71xTlrm3ryN/iyXzRsfVRDJ9qYkJ4EFvlR2fA7OQHW1Kgta5tdd14JcxmzMm2+/tFEWwvqO9GBe/Ny4eUsOHTkhz0PkTHDjS72kgB1cUDm3sb4ckcX3gOuRJ9HgekTGT5cQcHGq4BunsugQpixERwAOFiBxniyYCWYetuHlJTxDYmFyHoZgnm3NDeDUHLeCeSJ/6ynOHOfne1nnbm9Hvhx8mJ18maqvuYN2lQDk5ELHaBZCOUAnJ3Yi6nQMdTqGWwmcewZufCnStQR5UmxTjHVj3pyZ8tpXXpZ33v9IPj58VkZHIuYV6GC4tt1Wc5B+ZBv4smCDafas6ZPx4hEDD8Jb5dSVbEkIg6sUNNSsy3wZiYQibzY8drO9K5YuVI58bi5CfUBUZLPZMMdvSTXW4UIApLz8IughlWmoollTx8uXv/g81sVlcurCdZhwIwI41rCu9lvOaX05Bggqh0/GdVgjyA3a9/lhKSgqQz24vg0ud2zQwY2ZM2RP0oHQxHFj5cXnnlSZPxfDcGz869eulD89c0G27Dgg6QANZN97MxEps+zcyib5+jOPQrl5uUwYn6lsO5pMd5Zq4Lb+Tn6BPL3xsoZ+346NKgnOkDrbFDko2N6goGBsehtkCcRvFMcxXYXH1d8irsehM5clHc4O/+G7m2T5kgWSCZf1KUlJ2Bjv3xAqq6pl04Y8eeb0eXlzy0dy+kqOJEeFqo6Ec105SegRe93SOTL7m1Mx8GMgb41QM/DMzAwLkPAB3MdJNWPaZPmnv/lzTH7K/XGBa5AmnoyQI8dPyU9/9Za01tt0IjDuz6RxGfLaV78kowACuVixrfVgm76JCfnv730mGXD4RO5SV4miohzEOVk8d7p87dUvSExMpNKKXCKCo9d//Xt5a+dhmZQcrWJAVFVFHtX1TbIJ/lmegglzNMAKK1tWXil/3PYpZM8wnwXQqWwZKV956lFZvXyRjEN7uXHH443GGdSxXuR8VYGmNI3/6NNd8odte8DxaQWHy0GArqoP0kGEiEUhp6xWls+cIH/7vUfV+o+gOAFybSP2cc6gCW+QRTDDfGpjri4Ov/9gJ4xUYHWAMdETF845n/6cs95c/LZ9ugf9PkkmwKEmE/tv7qwZ8viaJfL//vsWmQHuTR0cznWVeD/NUKeMTta3zBRwXzmXmD/nCD2Z8m2xK+5bV/n6rrtSgGORgACxusouARTA+V8i/MggGKflLG88zKwPwAIJ/mcIcMChMSDCmsstALBh4JKsxHOzsP4EAVDkqYM9G8JBKDByPNPzuHetXe+/W2VQpNbagrkKMZutCr5xaAofP02Sxj4GzhLbdBBtuo72YB3soX6KmVCRRnCAt366T0rLy+Wxdavlq6+8iH0mU7Z8tEfulJRLekworKgsr9iuYuxetYNrpIcT5w050vHQj0lJTEQbKuTKtRwJQXdyLefcMomnzQC/DItw5vwlWbhgtr4I70YAzNxbdwBoyiQHATCrK+BiJXiEJAIc0XQ8GBKIfcfOwUHmRFm6aIF8/YtPy09++wdpAyCKhG4OgaJzOawT/usLdLGtRf6vV56C6Hm2nEWZR09dkIhgfx2Xpl6DdRx8cIOWK+FArSZwCN59fzsW1ykyEyjVpLF4u34am9ah05egOEffN95b9MmxoSJaIrgG//17L8vqlUt0o2aHdpfIfaGXxwnjsmQ6QMHYMX+UN/6wXUJh/09lLufBwYW9Ddn5YfNinB2+UZjEN/tPdx+QtYtD5Jt/+gVoxE9VRGx+N0fn/LiZR8M75MTx4xDAbLz85vdb5N+37pKJ8RHSiI2GNWf9A/FGfQtmuY+uWSHPwJcQOQgEE67JtJRInJ+uEheLNuSL/UxFVHXgFtEqYRq8yI4dk+54jNytPZ8fAsekUUaiTvSZY8pw3IQTTlNVBKxs1DcUtj0mmkDFStWIPRYHzkxbCTgxafDNIFRwpZM4WJTAYUNKcoLSywI3gjhiNg3l8ZP/9Xv56reflWeefEzrxrAcLMc1GZoyP3KACCoJgkanp8qf/+B1GQcFue6AGWlMK40b5Tb5v1+1yqM3XlozdJfYB6NQBj/Tp06S8QD4P/3Vm1KIWGjU1RmINyC2nfU/cOqS7Nr9OeI4jQLYpfmuxdJeB+vF3QdP4I2wRONCdeVHg/pFeVg8X9uwVhbMm+1oNvO5fPW6fPTZflm6AOMdZflSfynAGYN+gx5MCzgupfm7YD1F3zhL1Lw6KGuzOsurgOfj5qZq3AuQo6tRG7ghU8AVWQzRD8MmVMJJ4CGYl58AMG0AoGUUb+5oXb+E9LfmXT/PNnFtxFxrrJbSW9vFRv0i1DUsagzqmwol6vMAOYfweyVv7Dor+y86thG4c8v2vcpp3vTYGtVJ4dzcf+goxvVJjakWQhGPXeyt3BDQwKpNj0XoDUouTw9r5NeEtS0RAIzc3iKsCdXgXPPFh7pI7CaT2E4mLPPyu1/sQKyomRAVZcjPfrVd0lNhMAJOaXJ4gKRGxGi7eD8foVoCAdGWbTsUDNEVy998O0w+2L5LTkHE1IwXQ4q+zAtJMx6qx4vezKxR8o3H1yA46TSAp9vyh62fSBMCbbqCIVO/gT7ev7MNdA3s5ZHQVEL8+MQlWfTJTmi4p+kbON/+ydVYiLfyF55YKz/97XuSEE5Lfs8nbmrUbxkLHYHvfedP9c2dYhYzaFgiz1Whl9wHDDwCLfM2zt+4aRLkfPlLL0gF3v7f/3gvkCwWH+dB6FR1ckUYsZxa/bwlHtyUV158Sjf3mRDJuSbSgxuDGWj83dSPm+jiBXOV20XFwje375NRKh6zrFwIQmrB9eLGTRDS32TK1TrgD+EC3yRb7Gb7FucGokR8byP3hxVwokOX5SOjLvPhzAFgdC6bmVplt3Uom/SYNmWC/OhnfysbobtF77iuIJWLGBcJchzMb855k/Pw+Pq1cu7iVXkXfZkY2bneF5+lnLoWPpn+8dtfki+99IyGOGAb2Rbmz8T+JhucZVB8NhJcHtOXrEtCfByA/AZwpZrlBz/5tfghACHzdq6TZuSFPyheXzB27D0oSwDsZgKkM7GeBJqPrVkq//qrdyWzE+4h7zMvBtMyUpXbSq4YE+tP7uKuPQdk16fnZeWSORy0+pvvjwcoYHZVv2C1QGq48TZCHszW6Nwx8CTMuE9V0F2hcq5/YDg4IbNU1EPOR1UxgMJdOgYsQT8F4RKA+KCAGmc6YGzo+MCcQZ3qqnPVN05k/GyJhpiK8beCw1IBxs6qYnWzxqrqfjzxpSQ6xF/2HzkNUfFteXL9Kpk1a5qGA5kBr7rkmF+4eF2yoTNSC1FxBHTfyNHgmGbOnMO6VvQ0bruvhnMj3TpncXyBo0d/cpUCsEeyTqwP9Iu59N2XtIopoY51IwmOOEOhTsh52NVLCfWzWqFm8Pst29ShH+f7Ky89LYtu5EKPpkDKK6h+gL0YZVOMPzo9RYFTXGysXL5yXd7+48dSXMQxxK7rpFL31dL7F4YIuLEv/OiwjMhAeX/7bpkzazpYiKu0Q0gGbvrUBTgCvzeXs3MUhXLAWk/2n1AEJX7olMCQMPnua6/KOnA3rMjFFK1Q16fVbnaXiyOU7SCrpLMiap6Pz8pUjkk4tPJNx44dMxoip02y/+g56CpUqJitszdwDjj+46hgWyiGW7Z4gb41s1X0HEk9HLLy6aehtLRMEXwaNNO5EVJMZnQXTNlUyv7KKy9IPlD+aURojQrHWxD8DoC8EgJYX428KCJQoIQy2D46bqOyrnMiYm8A18Xky9+scWu95bNerLMOZfzhkYObbWJqP5pz3GH9pL9394e3tT/fnp9mrQU5P20yBQ2dyiYXgW8V07F4GTBHLlI9HE3VQx+Guk2FmJAUx5BjRs4JYy6pvpA9e7Y9PTUFY2+d7MAbHoTROsFdxUXBoGsuhM/fA8fmFQAb6o0ZcEdgQxFZdk6u3LoN9jD6hf1KCzVaKlAMRGU+5eihk2jdsf6RVXIegOr/+48PZQp0fiiKtTfNueEePoePqfAQ+ejYBVm5/5CMx1tfKBSMSYNocNDoe2rn/iNSUFCo49mVBtRRq6hvk5dXLIQi8nRrbOBZPn/m3EX5bO8hiRoVoguzhyvuy46zD9ZOmJn4wGFd6Tm7qMqyQEqCwnEDTK8DgqIkAD5rbFU3ocB7SDk91GMhiLhHs3NNZj4NNlk5dlgnbOb4VJacRggK+PuBflE0/P0kZz4GheNkKcnbI63NUM5vX43urzjIQz3ESHAobDXV8qu3tsrEoyfxMjhbZmOvmTg+C+oB8xTkXL6aLYw0fweKuXkQLwdi40+EikEIgAW57UwY0qCzNbZ57q3EvPnSVFZVC93OOpk0cRz2wmh4A66QYKwrrrGbrL2qTRZPHYM1L1J1DutgZBGJPLqrp7XGQzQNgPOf725TwLJ08Xzlvs6bM0vXSLaRewQ9PpOLVHC3ULZ9vBP6nucAjm26frmuCd6iizv5dtzN3HnCi/dwMyC77S6Aw/vQlWAgzayxo9Ep1mbKAfjFF56E5+IfC2CEmth6gpjcEOm5shKD4HuvPgldgcUdgA0H1cGjJ+R30IU5ecEyvcuvroduhZ+kwEIpJSFGXtj8GKKibtRNjfXlhjYNIoavvLhJ/uHHv5F0iIh183IZYc7zwrST4gBycwqgpHzo8HH5DGKCPGwoNQAT1fiQUxQLzguB1ROIsL5h/RoFf2yHVbb1pv089HlOX83FawfpZ4WuTwWE/2D7Drl4+ZrOUL4NhISEypPwIEu0zsnBPLhOUG774Uc7sCiAe4B+52TWxAMyzIOPhbbmJgVN/G2oLIlWJa2/VL5magInhEp0xxF9eu/nR+QmLHYqIeaqBIuXbzPh4EaMTkuWLzy/WUG1M1AlvTPA9VkyazIUa4+D9iHg8Fn58y91tMprG2TzivkYA487jQHLsoVvhe+8v00+hNy/AmOppAZ+ILDQJgN0JkQCzC6cLV/+wnMA9NOUS0n60znXExDtnID1w228OVFJvDNw3F4Lz5y1YA6OCvOHaBTcGyz2NOM2Y2oKrDU2rlsh//P1tyQhwJqTOlZQNJUPG+CqISs9CW/DaxQsskYck1Tq3rP/sOw9cUUmpMdZ48sz1fXlch8FMDntIEc9HOfthI5KjkOs09JUAyuoXeop2IrOzc2aE7p9QNtn+X05D94Fq01clJoaqqREI49flziIqgJD4vGSGfn/t3cm0FFdZ57/QEIgJCEkIQkhIfbFYIONjW28xLuNt4TESyaL00mm08v0np7uk8ycmTnTPd1nOn1On05Od3pJOj12x4lXjI0XjA1mM5gds4h931cJhDbAMP/ffXWlV6UqqUobIql7VKpX791373e/u333W50vnnapfy1QzCHWQtQFtu/ab1W7Dtjk1evtJjnEIy4SUefv1eewiJv9Bw/ZAR1GDh05qvVXCrgna2Q1eslyNN8H9JMlpL7hZLDWs7a7qPRg0yEQwifAbLB2cj9Yh2lH1FqpH9xRMVw44t8bE7i5p7lVXVPvDkYo6N82/Sb7pGqf5Sov9fs9kGvRMLarukkH61utpGSI5t1yGyTfPsxDX2aifqQu8NP3cpMtXL7ONlTttEnSoaysHCZCKdDNLJZBy05xc9Zt2KTD2kE7LAJwoMLzAL8T5SUqPM590ESTSYw+f+1udME/uS/p6iI7B1W9TN5K5O79X+csspt16i4rfco5lwPxmKne/7k77WkNxpfmLrAyRR31HduZWjENxrJp6oRR9pgUztDZ8KduLG3mihj407/+R+2Q9TK9y7BsfcYXadNU72DXjzLoH/3Jj1znfvNrz+p9mYNrkyiU9Q5KqXPe+0isvcPSn1DcDm2kbSXaSWT0ZctXi0U410VbPS/Frv7qJkzPscJpUp4z2jDW79xry6R4fFiED2IQlFY9gQMn5nN33m4P3r7cfvn+UhsrJ2y0EU7minVb7M1l6zXBZcYneIrlxGn6zVNsyuVJmqgBdKpClufH7S//35s2tL8C+knu26Q2+dHCwCzK7idOUIQ+5kYvTHCfiJmycvUGmz13nn20erOsmBosQ0QdsVhgPbM4nVEcs8PHT9mqrfvtRekZfe6u25pxSbMITVEh4uf42QYp9w2MaimEsUhOR2iiM0MfkvjeuLnK/vIH/2BzV2yw4blZTmxZITN+ph2LzYXGevvxC287zs7//N4f2qQJ49y7fbVwTpMi7wPya/EXP/6lTa4Y0DPEjRa3XAXPfG/5ZntA+ggTFckbqznawrx4WOal77y/RGbjxzSeIbik06W2sDCj9/TNB+6WKHCCGyewznm2/tNN9pYcik0sH2y1mt/p1BMYYAwGhx0Xnbte3LYBRVp/GqS3eFL9CQwBFyLYgnsCps7WEYjkkcfUyWT8QsMJETa5TjfHDTR/+EpUTYASRzzArGLuc7j7VHolm3cesMrla2SZirhlhI0dM8pxfG+95UYpJF90XIpDOmScPHVKlp/VdlSb+qnqs87HTH2j4jtpbW2Shi96Ozn69NOEgOPit2zmQWCoEhBYYRA5XPFuvbjrDZp/hVJjQISmV1w/IcYeIo7Tmo1bnWuGGVLROCZfMm9+9InhmxgDBjJf0vsHay/as/ff5uK4YYX54eKVltM/0FH165KvG5hiiRLysMqjFHy+ttbmi8jJRddVMNx3q6Qp4igf1qH2pZeW2MgxgyxX4jtN85QJG/ZciDF3YBYg+Pyine0RYB72ZL5Fv/a+xCY8uqC/k+OxUN5x+y3NQA4rK3H+Cj6RLX79+dooyrU5U4oXUN0Hapvsuw/fY8PlfyOc4HD824uzrZ8U7fLEpcGtNBTqZX0HE0pKpBpcEycX2s9fe8emSzn4zhC86LdMmTTWqnbvd5rp4bJjrx11rQ5eJe7Cn//VD0XAnLEhg7KtYIA2F2UOZL7BW4hOBmuAIB///j+86MQHv/XtrznxEgOUsoaKcr9dk3Pex+vcwKGdPINIGi2TQQYYAypLisUM8qikCnHJXSl/LAWirAKxFlC0JAhLNrDemDwOMB3/x3/9D/vBv8624cWKnyWCpjCCT6HC4cNxnYSbHOHh5Lk6WyDrgusnT3B6T76cXG3wJRID2jGxX0fIJ04koaR9QKzrpx66w4lSwTv9BK5PiAP5+pvv2RtL19oUiZaatPlD9HoLOvIyhqaMLbaXF6+xu27/2MaMHNEsZiRCNwrn5UPyncwdIqwn8M0BY/LwfCkYfmi3inNz9x23udYC79gxI+3LX5xp3/u7n9pIWVq4E6vuc+IbX1nmdG0QlYI34IX7uFCnxw07DtrUkUMktkJ8kE49g4FgbhKQkuCWXgEXBeSAoOmdc7dN3Gi9IwVtapCiNO4lINJi1i+XK+ZfKAvjE5cTTMHBOVKgVkJcvHH3IesvM/Fx5cWaixUSVZfJqKLIuesYKcOWCePHOD25zAy46xcMI4c6ibXxGVMnLnCdxje+dbh3rrau+fCNzszJM2e1V2RakQ7vbmMX+jnEFGi+5OAhXusPcZ4Qna/7dIvj1js4tcaiNnFaRBUSjWfEHZ715ExnwbtKLkC2iAOFV+kxslD8juYrBjk1OiC/JZHRSblYCRyVxuBCP1lLiD+F+D6cAtwgDsuU1W2wT5w8W6etRnuF1k/UIIqG52k/6++UkcmfSoLLS9iHw0ekED5YB0XqP1lnZSoTU/ZEekGp1EHeXiWW8sCz4aJcvKJqt06JCx0VXSIRjOem3DTlenvumSftu/J9M3nYYLmYbuEo+DJS+aZzxpcWOv0MrJ58PehkLF62whZ8ut2myENynYKVRaVIpyLLHSgKdu2+o05mi74QisgkOCjlMjmukcvrkqiXE/3A0/FFicmu2NDBMpvWAHRejxk/7IWR1zAD5AyM07cKOdn7eOU6p6cxYdxoR9iQjUE4TboPE4aX2o698oURcYKIy0A4SJc1YVBwzYhHoFCR6sCyCf3gi6oQvLSV2h3iZGgrU1vPYiv2ZUUQkuhVRIp75L9ldGm2XIMPEIEReJH285HFLUjy8iw84J9hi3xIsFjhU8InXJ0HbgDkVrzlJbdInW/4zKaJyzhCFkYkNnzwip7J2wo8Oa5I/SiNckSN4XcZd5y2LmlySxPFNlVtd6IzHNwF5fR1zrfgZFZLoQ9Oic427ll3/mP+ZQ7IsBUbdsk0/ROnII/VHEQb3Jt7777D7py3yPmsgRsJCo/ICu+3v/mAW/yBjbYxXtZrkf6lTOknVRQ4nQdw010p0RjorvqumXIdQaDjSwYiWmEpQiBcM/DHA9S3SYRb0u1hgMQMP9YBL+7N0qFvpDZXDV7pVJ6yHfuPSA3gouVIDD2ieLANKym0UZXlVi4dPA7ZA6Ubhy4fc6JvxLDEEQwySvGGA36+Mx/4OCtNzQGu/VrI4RgnihAZlHNSepWIzQ/qYMB0CeaS3hUNsEVuPi7Pfse+IC/FE8eP0+FnpHPAR3HowqAjh5O/ue8tsLUbtzmuDtxV2uQTMDE3h4sTTcgEPDef1aGOw0g4Md8/0z5xRRVzEG5slFNVrZH9RPTUaj8rYj8IlRt+N9E1hFa91D9m3Hy93fFfbnbuOEAEXKYVq9bb0jVyIOjaTAktMCcqr637PUfcCOD21jX3XPkg5NjQxxTl2gtz5osbMsW5nAapdHSBxD0PyffM06vW2XJ5L85TBFQ/QGMHb6vGh/tP1wyoWlGRD98mt9+SJ4YTLq4XLF1pY2WG52SRiRqgchgIxWLl8Q6xNQIrKxE32hQp95IGA4kiAIFPouRPw01QFRIkubwxL3hQ4HIViruzTDG4Vq/dIOXmkcJfoDfDN6Kq8rJiW161x4oG6YQdU04AQ+JB5LNrOiYC19137fKZE+VUv9KYRNl8mxJm8OVSRuQTVN5WmeKs6bQBWYanYS/GbK4rUqYrT9eMryMSTyHOCif6xC1MMG0jdYNffNTcOK7c+SFio/cJD6DrJI7ZdPiETSrGN5OISOWPTVdUmBvTIqqqa87pU+O893IPK0GsEQZLL+eIRGu4V9e06HgKIz58HSqR27QPIvC6ygJ7WdybGeJEEobBvzJazgifnTXTfusvfmSTS0RwacGbOq7S+bWBAPSHA5Sn31+w2I5X11hecb7miHrBFxKqs/lSz6jb53HXzQ/bv3BF659Q1/uTA7YnwQQpkcHT43V3TTsj9Exoz1ObYjubtoU/4XWrnXY7sYgIe96Hu1AqroLcabm1HSnBFh0wPlq31T6TKwrJxKS4M8jGTRoqnUu5zCgMHIhyOIbAYP1H3y9DsaDAPOtHrg6XLOlwdqiL8Q03BC5PgwgHVCDg9qCWgFNYwHW+6yNww2nqJ6X9TVt3OjHafbdPbXbsx/6DI9wt23bah8vX2kX2IHFW3b4Yed+jgrYdqG6wJ2TIMOm6CfaanBqeEFcpR3p9zOVwcjDqRURq1fIzxhzur7bhysQllyH6nfD7zdfKD2FTKxHe04/fb/dKvQRrVqIFct24AAAu8UlEQVSIwzkfP26s1r3hNlS+3V6TQdHAfgQIDUIcNZeR4kW3Eje0uzmF2x/1oDmHG1QtrwRswwF9PrP/eGWOGj9Gwc8CfQTeGDdmlH3l6SftQ/nlKJJsk02LYhMV7WvxeXw+Ou2wFDxxHlggixmSp7bxhFslpalBUh4T108UrHvq8sT+w1IkR/kQRcBWJGFely1WY2mJxBkNgTm2K5tGAiuZItdc+gSq2Nz8cw+rfx79HZgUH6k65BS9mDjNHo+VkfrxOdO/vyx9NIjCZTVX7ZASXar7pQy0273DtQMoTr7ILZ8vYQ7K4iFlxclEu5vLiJch8q5THIpck5+sjmxI8I4zc+SUQd4EeSiO5xxesEyAjdxeYrKe0omHcYk+Dsn1mypBTn9MBAmOsPplSKwkJ4CtRH+RCqB5cBdwWkTAWS0gPnGSgmOSL+LmlJwUlhSoBOjdjiYhOGh/YiS455HHjNXDcnL2wcIldr0WwVKJOSFcWKRxOfDFO2+07dt32O7qRvuj333M+ecBNEf0ibhbK6XDf35roY0vHhQ5HOhhoqpVF4+aP6F8AcyJ33Xv6B/52Oua8+uV3pjcOO+NgPV2mCL9m3AMxYWfgRF6EL4O3Y69hJBwXvIiD/pqfR+YkWWj5dSub+mg5oPKZ3LVcEQKxwekU3lRrzSJQ9sgbmwdRJI4FMGAVCGUJ4d3Lkmfxi00fiBkocepYKX6oNPJuqLqXIody8A1QNz6fhlXpPS7xp5/e4nJEiZoY16W4keJmyT9nAwRNn5PpCCq8gnv7vX1F5y1Jla3ECsXI+tjFK78C6BQH4wNaIeDCfj8x+dr4xvi7oIIp+lTJ8p33F0y8Lhg//7iqzJYWSO8XLZHn5puz8lY6F7CS0ivafGKdVJUzmw+jLZRdMJH3UrcJKw10YNwDygPVCeu3BfINPXODz8SO3CoEw2wwCJymXHbzfY7Tz9q//enr9oNwwsDKjVR2QnuQ9zYgTrH4UAjnMSijoUQisIH1h9U3CGR7/SouCQJk5S2rPqC3Fw3ug2AfIxnBlI2Fjsa+THNa/W7pezYnC1P4l2BDysZINZirTMZDxM3/TLltElisTzhKxjsEZZovII6e689sPW8vSxJgRCnkDi3WheVVCb6jb5qPzOcnONnG6WLU+BCRfgKeROR5n65N7ej1bZhYI5dqRPBy2IQLzEGZeqdlSsRq+PWtWQaIK5kf5ldfobo1a0qLc86fpW4beEnLGbDxBV89b3FjnPzwL13N8MwenSlvHE/aN9YuMae/NxNzrIqN6dFpHtISu5z5y2w4sxASZCTJQtce2il/kRoSubdjuOk5950aAgjuueqvrZrYmCkirfmwZTqi9GoYi1nTbiMPgA0i/5RtCteHYoEgLh1udJPpH8h1fkOJz9/WV/CKShbd3TBNXOFT6IEd6VJoi/cekwaJpFYeVAR7zgjBXFdYxM5okp0Zz1g1NrjBmTsG6HfehHY4dpQR6a4UbkiPGLbEXojzqXE8lIEv0vm5SBtrvSB1mzaJl9axa7NO3btERPjTfu93/y6dA9vsRfflAGCgnhCI3Y09S7iJqYVIA9fNmWiSH8x+z2Z613vzPS82IV4SI8/fJ99IqWqAwcPyZoKz5oUEjOqYsoN/wzkjI3OGgYbfuqkI6ljipzoLVr6fDh7u9dYSOG/hETZDAb8quB4Lhaq2N8thSd+0pKn5Yo68kSt4wsHXZFwYgNGGRblMDgYDObUBmW4tE5eq1mptayT9XX16zHAu81auiYDJXrEN01zUn8UFQ227//J79gf/tY33FhqfpboQu9wgkLkE074w0EHK1Pmlj3dbyyicCsvyofFHFkMTrpuvEScQx3xDst9+s032lcevUvhLKY7RWPgZt7AYl+1ZoO9sWiVDZOyplegvsZ7P9wt6etfcwz4pcBtN5q7HHtxBtpC0ESREslhS+Wk8haH1cuYfYVS0mtE1GuqNep3qEBdApOzKBY3Go5Lf0kDihGxSTSHE9v2YGY/Re9nkER27NnVOvitlIuLIrnCqJdKCEjD6uq92avEvfmCOygOIgC18NmZ1KuJGxpGA/EfQICvV+e86xQW4UTQiSykuIp+Rj5m/vgH/2KTcqBE6aUUkOKyDnCcoDAi8beDYqdX7gw/a+8a2OCmAAsiKjgq1l8UctIpBfhVJjgaJDZktYib8wr8GE5YPGXr9A+r84oGmMbiVU2pteyqgppc5SIWURrHCsIn+p0oxLdq8+9Icpw4vcg4qpU1Rr2IhXydlCBiezp9ppNqrsbWWwtX2EP33mUlM4c4hUIgwZLru7/3Led4EvEncDMnibE2+615li/WOTAnveC6xrWxyvZ049P1pTGQLAYiczO1sZ5s4YnzJVtfq5WDG81TTRetMrSuk/mNrhCH9kyJ0C4SLD6V5OrQHq01wukfOn9M2t89gaa1hgMjzzLdPh6AmARocaFIZceNW0BP3GSBxIrl/SWrJP9f6rS2WUTpWJyt4U34G4/caceqz1uONoH2Uwu63OAoy4vanNp/v+0cbG7Axzd95LgpGgzBYGqpu+1Skn9KG5zr/7pGh5vwm8CAIjYDMjK2wo+TuO5aeJvnUxI1J5+lq2Bsp5xWj3VDSuQoxjkuTvIAt5mTseM/WCjwwQNyZP1s892uexg0ltMhV31l9jrn7fl2VNHSXRIweCnFMhD9N8YgMDPWl65YZUvWbwkUFFvhLBGEPqP/DueLdy/8PH2dxkBvwADjtDd+4uEmtTnFPuIPV3BrIEDc3pnEgk4+8teL64PSM3qE06dMtN2nap1EoZ/2xhPSe33kS7c4KQN+yc6cqXVrampQRrczGUog+o1O/2oLG/GfgRwtnfJ8f8FelhkcjtIwvSXxjJhBX3ziEduwZYdt3X9YBEV7NJuvR99QHycwcYsW7kGhojeB9VOHkuCCQoVrs2vPfrHx0HnhFNuh0tp+SW3ApBgvtlk6ZYcTrNJGmbDjprsfbU25/hCuUn85AoovI9nqW/KH2xJ9Hc4Tvo7OldovygFBCcpzt/0zvvWR0iB6MmG00sdYQOCeHM4dC0NHEmNw09btLtYN/iUgNLomRWBvs7AWmBm3OGv8RATLsuWr7JkvPuHcsDP3IGhIXJP2STw8RwH4+iECZQH8zMv/W8pzGVv988/9t8/A79h7/pn/TiaPz9tbvoE5PGp6E1y9BZY0HF2HgdjxFm9OxeZpqZ01DMtcrEgHySIyT355CCmTJaum9sYx7+Iw8URto63ZsNmFdPjyU0+60b9p+27pqV60e26bbE88cr/jDH38yVr59pL+XienRzcSNzQ6FoHx7rUgMLjyeaLfxYlcrsQryzftdOEDRlZWuACQLKr4CbhdysWfV7TXtX/5E8eliC01gCVcdlC+23g+q5MzqGjTX3ySfPzJGvvS7/4fKymUzxp1ED5fUk1Io3I1APKduTq9FYahrdLC+QJYE+XGgdN5mRoP1qBDqTOcINowTUd3KUvKzcF48eX5OsJvxF77vB722Of+d3tl+ef+278X+93ec/KTh+Tz+u/gbuv//rn/bp0juMNzkv8OfrX85z6buX+ubyn6NjaIOI4aG1dcHLL/8Vd/b6/NXWkVIwvsnEITiHmWUqKmPI2drL6YhYu4QZmxue6UigplBoi2APHP/TeEi96QWPO8CLa35y2U99ObpRs0vJmgASo4V0RhX7houa3YuEOxeIJ4ZtF1xavXvR2Bz9fpv0NgN5vIhe/5a1+u//b3e/N3V/Rld7WvN+MR2MBdOqWCgQBrvl/59te+FP/bf/v75AzcYGBRhTuNPn1lrYU0gPs6wECE+MNNy1t6T2sC68IlHXB2ytHpg9Mm2W1yMoiLi2FlZQaBc5+crLJ2lhBbT2sMfuUWr9og61E5nnQWq63hCdfR1rWIm46/3FbB3fEMZ3klOVkKZ6DQDGKHPyFHRiQQWygz7icU+XmJwhZckra4I1oSAtEyOYJOQQlS9vb+ti7wWVKgYIHW/5KViDAhJWEdHLdGz9pv/bBrcI/Iqbr+orMkiyVuOP3DPcL6K69fwD1qDUdP3ema9raG1ndc6yfdeceNHcVhahS7telCk/MySn2MPSLnErDUBlywIQPkJkAECotEqimwUEj1ra7IH41TuDcQ6J98ulUEzFKr+NozLngmNflW7dqzz977cLGsSZh/0sHRPPLPugKidBlpDKSCgRb13J4ZhewfPVNTKlgI8jbvbf7VWEBjf0fysbdAoDTq8H+sEUupDOmnEkA00w6fb7JKcXTxvQORE+Ys85vDXL0O3RjYzHp8ut1y0xRdF9gn8k8Hh3ekdFoRUUHsEMdrue4vUxBOTOK7wktxEMDCN7irvlkXEyCrM1U403D5BDgsau9NBXS8bsJYGzt6pCNu2FCuk2tsbOXf/XApFE9SVbFoyzGAC+5HdGisXti0KA/Pk5OGyjPyxcaA/S6vwakm9wa4SBKeVMsnP5rsdqxB3jJznPvucBkXLl3UwDliNfKTUqzIts6pUzhDV167dsYv0OEBvMZ/nNrdLikktSrj5UaRu//g/iIezzvHW4Ta8AldsKIiPBxzfgBg8WE6Cnc3jh0Pb3vfzAn4lk06BLwzf5ERQK94SGGzgiGBST/4aJltlydsIou7E157haafpzHQjRhoOUwE63k3VhUUrUUu9R2i26FKUEH7ixFEjdPVFKdm3Jhym6U4cwSvLhWXBSOem66fYHv3H7Ktuw+4AMq4VWE/ZT9iybogU8tbpk6wh+6700YprAxi+pdff0uxDTdrHZG4XgQQcewQbddKr5BDUa58xSFl6Iok83yY39dGYo+Ae0NYgtcWrHCRXMu+XuoCaiJ+wUX+fXICdE4u93272ubgCJ9C5CC55t8tF9Q1Z89FETf4p5k4arjcWFdJORL2WtcgvT1sMyndftheRj2nfWyy2WOKNIAqhYuQSbKeY21DVGmF7CR3M+EWt+j2x3vc15pvMrPjlSEYiXSO8i2nqXhZmsu4hi7wA1Mm7sxhxaQhhhLWQ77jOI1g9thPTr8uipMYPtVcQ02MApXTVI6cDW5VwNbv/9WPZNqZ3dyXjMEz8qzaR/43nNflqDe76MevysDpInSki2kbA45z46gNDRwW1PT4aUGYuC1BcghqRZU5okaPsnPybNaj9ypG4TQXU4t99tz58zLXHmKVFcPcur5tx257U+Ee9h5QcGgROAQRLZXvr8/PvM+5b7msNWHFytW26ONVtkchLbLFoEBFgqDT57TnkvrJYII6cRvRVakbdW66CsTW5UBkFCv2zStvvi/305PsTjkG8kRM2dASmyXlYmJ+JJNcWTn9bYsUm3B7jaNAnzA5f0RRjmcv32A3Kr4IFGUgxvI5En9DuTKfoH6ZZKkcvj07HyXSoM7mPTOqQsrMEqVbW99kM6dPcqbH+LXxnCcUXXfv3W+Hjp2yIWojG6zHU1RB/kdoXDH0yYtzqisy2YtNPqufIjynvfHaCQ7oD6JpQ9knyic0OXz1y/FK0b6W2Np7x28IY1yWbztwzOnYeLzzPUBOE2+bPs1mjF/gorbjjr1BfiJoe3uJVnv8kzfZMddeuV3xnP5lsbrSVG8n689HFsXgZAxB122EjUNE/Bb4+RXMNOXpwLBJpl/i156+29swQPc7V/91DTKmaHS6mQSnPHv2rO6375elt7WnK+FhnHMQGVWG5/NBTl0BX1rgyyc4L+w7FcNK7WvyO+O4LnLKuaVqmx2RtWSjRPBX9LxMoRImTBinGFdjnf+rV+e8Y59u220z75hqD953twuTtGfvAfmKW27ztIfmy1cXQZsRtQc+gTApz4jQnBA7HZi4Hug439cscUPcjM1ihxH5dNSoSueFl00A89ThiqcUa/0Up+3uFoREfxERi6WoTCwcXOnD9aGsPIl57r7jVvvKfbfauwodP6q0QB0bnMKdWRwrvRL//WYEQYC8kfgdfSTGuqD8BJ1sk6hwpfh/Mt2GqFHwjlq59h+Sn+vKggiDOGFgUhZULhOVMVl17oL9/u3TbMzoEa4QYCdPg7wlr163wTZr8x0lt9woZYeTg1v5iONFXBMGnYRczVnw31I6OM+a6uSnR225FImrhAJzQNkHQT2pjw8eM3HgVhfja4dNr1gRtYcV5CkkC4EnYV8GHj71wxE0Ac4wn5fjxv2nBQPcq5YJ1wxUL7pgDKAEd0TE49Ydu8T5qw30tAQjY2iynN7Nkhff7/7NT2xqeX8X64WYTR5fvinB+Am4dbyHaSREJQp1je3qj/lSeu5bzVbfBOO0uVbdY87Rlp5MwJEtQjJPHLKOOqiEOIIj3BVy/p5se7qu+BhgfvUXd+DQiTMSyR92Ue0njB1pVdovinL7KURCZO2J//qv9F3W2VqJhG67abKNlJXxYYmKjp2sdgGYmdes64R4IBTRs198zEZWDrePV6y2F2bPs/27j9ngIdkycNC6rA3vhOJTDShYat96/B6b+eB99k3p4Z1U6IQhhUWKkXXe5n3wkX2wdLXKP+08nbP/hDnY9BOJ/5rGXZ6uSeIGLDRqMaooyLF/fH2+3XbLjfb5xx5yvmpAWLD5J78xgtxscSeWyMz1lmlTXQwdXw46PV9/dpbt3HdYJ/TDViS2PFZbbGrU4/MBE0HQ6Lw6bfDbjsqZ3md9rLI0X753+rmI0OSJTeE+pSw4L7fcNNX+2x98037x2lxbJqILS65S6ctA0BGOgk0Vr7WnRfycu9zX/vy5J+0Ljz3s4khRPnCR9olYW0lgUTlTc6PR3W35R30M5gaVdfLUGbeZZok4JFHG0NISRTQfItPe7TZxbInbvCCyIPBOS4eHQV4sjhYwA9NAtfOMNnhM6D1e+IZYu2HydTZ2ZIXNnrfcbp5Y7k4G1APO2FQadHrYfqLRRiv67rO/8Zg4ZvcoRla0iI38vS2xKY4syZUy3AZ79MGdLiQIMNJugkg+MfNB2yqu4PPvLVUMNN2Tx14CeQYEdNAauov8EAcE4jx0slanTDnuG5JnZQp/QIRhnvem5Ih7Z711daGCe7b90Ek7uu2Ijuua84rtE0VhMRXCw99fh7/lMn+IfF0VSMTYy9B8dZF7TdeuQ6YOa2vWb3TrKdz9zdt2SYR8XD6jdHjUmvPrljxXP1vhYDi0o3axcvUGI4YiB1PWdjzZn5Ki8OMP3aTQCJNt6fKV9rNX5lqOzryTx5c4NQ6mDutRUd5AdxD7p1felwQhy7713JfF7SlznJrZcgexTXEZ8+WfrlBrHntGW8mdq9vK0IFn1yxxA3Kxuy/td8VefOUtGz92tF0/aUIHUCAaRJtKkYiHdxYud9HGS0vuimw+wcZ8/z13SKu7QJv8+zZ/yUrbeuSk1e8/KwqLUAegkI7TKiouS6Y2uhsriu22aTco2OA456l2sYimleurHHUM56W9VFJcZM/MelwO0q63D6WkuVQWYMcUwPDwqRrbcbjGsqWENamiyK6TXPOR++6yL33hsWZxGniBMDknCykcHs5fU2VjxDHhtBKbXF4RKBAWJ06cdIQGeXwZ6JB89UuPO18tJ09V2zmZPOeLwBohjtbgQblu0z14+JhksPWmsCEa4Jl28sw5O63w9b4MXyfy2a8+9YSdOF0jjfgdZicl0kAPSC65S0cW2gixOB+8e4zYmXfZHYotgkwXLlyyye9V8fIHpF68J/HvpZIfvZscEbsLNu2yR+S8brLGICI4Nn/KGStu2n//r79nN990vb357gJbt32fHT9UbQpKpae+Jo2fPoo/Vp5r44YV2J3TRtr4MSOcsvwe6YK9/cFSsYERaQUcxfhQXxt3abFvdSzEie77GRPvOUr035j1gJPdu8NGbKFt/qaPdFIV8XhQwQ+37jogjhnCrXTqjRig/5PtG7ieuTqIVu3e7zbbmQ/db8/9p1n2z8+/LG/3p6xAkbshcByR3kWNjTc+u6joThXDvEDZ97w4Npn9s+07zz7hREnrNmyy5Ws3idgLREIcdDk0jxpWbDdOmewOqQuWfGKZV+A2iysvsXo4QQxd+qyvTdCe9+GylTb1hutshDg9y1autUWrt9ikyiHtEjW+vO7A3VUnbji1djSxscCSfn/lRpshFli5qEbMt2M31vbKh+DAnXSdwtr//KU3bERFeXOEY8rCA+2t4g6NERfn4Qc+Jw3xA1ZTfdZ1fp1EP/0lR8QEm8Cbg/LzpGhV7jYmtMqP6KRAGHp85OSJkLggcUyixCD0CeVoIjGPlpY5XCkUVokyffrMGefuf5hi/AyTfhBswxxNVDfpI4QNCqz46HnlrfmK7ZPpornSjkSpr8jmPfsP2hlFpXYxkiJwAMPnH3/Ebrh+kh1U1Nv6+kantI0VGSZ9cIZ+/NMX7OM1m60wwsHZdqJGZR1yAUSxGPIJHD72yAOujxCVQQDBqSiSKWCJCJkycYnGiUDlGk7P1U4tPdE2JORjkbyuaKD9cs48EdljnIsCx81S++DQjJBPpm985SkXSRu5NXg+IwdYLiyHeg6c5yn+F0QRY2bsmFE2XMQgG+8rs9+yl9/5yPIkr1ZxSS/ubUN99Z62xmvrO8lA5+cKSvT/63t/3MFNKiBuEN++9e58+/af/a0W5IKInlvi+ZIMfOk8VxcD9B7repa+312wzIlZZujQ9Af/+WtyBPu2fbp9rxWIq4Dr/7Co5OpC3fW1Q7CgQ1MnwmRYWYk98/lHbIq46Fu377RfvPGus1Ai+gH7AyKrk3VNkoRUaF0uss1btto+Bf/NklpBIn0YcAcnepu4p2vWferW9xFSC+EIwzmebSe0rXV9A9so8ersIjQ6AlSw5/pfbUAa55HfWEYMzrafv67AmlNvMLgs7gSngv0CGOfVVrdQoMIL6wKFWh/5yhv2za8/K8KhwuWDukcptkj2+vfePcPu0YdeQ4TQJBFUP4lj8Ivj6lO+8HKNmCeAg15uVW2rG+Dj7LlzTsQGcUBQRoIp+oCKPI8dLJ5woR7Y9GvFiv3Zz1+z3QeOSGcmJ9DbaFVTcINBO1hsw5UbtumEs8K+8swsp+TlyyT6+kSZ2POJTbjax7lc0JtSQtMmXzGwn324eIWL/nqnFpNwgli6/dZpTtEWx07UgTOo2H7C59BecSyIbs4mfzUSeG6V4t1TJsZHRp8MR7S88NJsR2DDBncKtpGCiL00RZ61+XALwg7ninQmhB8LCwMk3LeYV1MGi4QbOvxLAEMrWDtyozvLTgCPG2dJzIsErzvikXHVmQSO+0u/TCeQKPx3psz0u1cfA457qrHVR1Y5HDzwFo417be0tn+wcIktW73Reb1H3I8unDN26ATYTJ9ODOVO1NzyqpvC+gdR41QYtHg0yQ3FrdMmSi/mXhulPW3tho32yzfmWaN0I4HXSxNYh882XbLB0rdh3zqqA/U56WIWKShzWwsP7xf2z5A3/zNOz3OQuPpZOuwyt8PrWQuUPXOVvGJKV8LDgIuUR+P9dUeqcGxFdSRm3FDkhw4f7UgxriMwQ8uVItq//GKu/dNPXrBNW7a5TQjChkRnuQ7TNQMBgoaOxBKGEzr3YtuC19bzGiBOGz2JzYPI3Rs3VdnLr73lwja4ikP/IqA0wxIMIDbFPo5bskgeHv/uxz+zD1esDwgbbZCxMIWKc+XQPnz8vDrnPVu1doPTvXFt0X3fZl0Er0Vw4MsIl43CGIqdH2/eJT9E86WsdtzBRV5fTgCv1CNE1LQQfkFpbPgQNa+8Ptf+7H/9wJaL+xQ3JYHHqPdSza+XPZ6jygk3NupBwL0ZKEJw5YYq+5sf/VTKdIsky9bioYL4+PbzGmXD2ckV8QYBi2OsIF90oY1ajCkDvDBLfBdE5+rCX220rwtriSoKXLSeNVFZ2v3hcduRbxZtxFIOx1pH0ulXCwPMGcd1UJTHOfKu/bI4ofT30woh8ie//ZzzlVZ1Wh7qpT8GMcA6DWHg5mMHUMFSczU+LCoESUb8lKU9DG7MlhPnrVjWw7/zjael7Pus89v27vyF9tLsd61BUgqS2z/dVeSf9kDKYF5iRYWxSXvzE4X8DL2AM1OkBojP82RQ0/0LVhjw1tdXhXMDshg8PuHMJ1jcW+75Z8l8I/sbqA59b9FKu336jfZVKQBj6UPy9fjyWQBZTuMlnuHivnBghj0v7fB9Bw7bk48+4MQJo+RuHgImmYQ34L37DljV1h2ikjfZdvkFcUpsgrO9BAwQat/7u3+zL0l8A7WNkjMm6p7IogzfLq454eMdFtfVL73xnu3ad8iGFYpjIyWucD7yxktwrZz/kl177Qd//y/29KyZds9dM5zVWav31W94gD56/KRtkojltEQsKBJjaUWXogdVKU7a/I+Wi4DJUByiJ50uFCZ/iRIm6ziDWiPCavHHK+21D5bb6a0nbea9M9zk8+1m8raCxxUa9CfP/HPGFCl4J1hw3I0k/tEOb6nVUp4vm/ETP7EQ5GVnOTHk//7bH9tTVdvF6btDYr2JjgMX/63ou/T/8ROnrGrbDtus9z9assJypCjLAh2M3ej8Hf3lcBXazJvnIAW6JsafIx2tr/k9iqWffP9ELOIcvl2VifFLX5J8n7gfcX77+8l+91UgQDe3E1edbFHpfL0QA8wbiJeMpkabu+Bj23/oqD0kDv/kSRPtT3//O/aF3XsMvcgPl6+X6P+MlWrtzJWLB79mQQDAneCbIdJNMyMlzDEHIMJYG4EH8RA6MYfOihus9XjWjKn2x/fMsIkTxoujfsn2aH9YtOwTW7x6k+Xjb4y2xBnvmVprENOis5QvFYtB0icMWp0YPGDBt02+xOpwUS/IVPz0+QYXTxEvIlcLXz1G3Kj9brMtu65YliVr7coP/8lRiOCXgYPJHtwDWMQQK6kkx1bTXpat1vzsxdedfkiunNkFJ16VpLqra845TkilxDR4T02UgOeCOBBDZDmxaOV6e2XJBvvmzBnypzPRRgyvsHLJE7GCQdMczgOERa2cGnHCPq9vCJN90l9Zt3GLzf14o9UeOm2jRhe5k3qymxOL+PCCgfb6u4vs7SVr7cl7pttkmahXDh9mRQUFrm44PHCF0N/YI182a9ZvsleXrrcRMnVEzASRAc6TTRA4nFpWfVolC60d9syDa6TUOtKFEcAskH5BXFSvOk/JGmqX/Bds3bnHsSJZBFwfRCpTd8q/RIP97fNztNHvsSflzIlYROjX4MW3r8rC9LxGficOycHgHhGCGzZvtf+Yv0oy8ot2nXww5E0pcR5vCUAJl4MJxKTbsnWnlQ/PDwg31ecWLk3EIonDcN/dpNPGQOkg0fdsWKdkBYaH5ixgFM7aSm7CK0OGFOj+7YVfOqVmxGfUTfs2ipNXPGG46o5WrPNlgm5HaIuDc66m2r731z+1B+9cYZ+bcbOhG1I5PHA3jkI4Yip8PdCHtTKbZOzgHOuYiEaImqWrPrV1S3dZydg8Z2HV6oTlK03hO5iDF23odaW2WCLI+vqAs0QRtI9+uKz2MnC6Qw8BHTmim69et9F++A8/kTiOcCABVwrFacR0bj2IWXUZy8MmF9obc+c5XQEXxyuFsd0eiljIq7bvkqWHXBVo7ic7T9srN/28d2GAMV4gzvK2HXts9da99sTdNzvxeZn8mT0rTs4j0qdEF2Wtgjtu23PIdkvpP1u6boUap9n9M90B1e9XlBWsFy1EQkAEBMRGZ1pOHX54u2/NR0fE8O0ImmCdYR0613jJapo0PwYPtDEjyu0ZGaFMvf46+ZgpcOsmupIr16y395eskk5pvXQjB2iNaoE5DCftKZYI6vDRE24vHjN6lBVKMtGodaKthE7PZ1rTK8p1ANc1hzNZsASHpHBj2iqkG571GXvTfVTfI4mKYF+dEVV3asde/fLKtaJMhgy1MRUFbiPpCDCUzQBgodq7cb9+4fnQ64NQ4mCrvH6oEyUlu3ixIaqvrOpYjV0+cN7Kb6ywSSMhbnIVgXuA2H+Zzo8NhM3Z2uBzUNZCJzafsKzh2TZOZuBsjCzO4TrZrGGN5uYOsr/4/u/bow/f70QTQMn9d99faN//6x9aX0VBZ53fvP+krGuabMS0ChteXBAoEGujPqvBuk8KvMc3HrX8MXlWUTTIbRapEofU65Pzz6MtpmqffM3I/4HlF9qwEYUi5DLsqPqt6aisnGSCbqUDbURJnhMv+XfD37Sbd07V1Nlx0QI3jyi1YcUibqTwjRl9vQiVapmNV+07YofWH7LMylybOHSwag787uh1q6lrtBPbGCcQo/RwjpVPHm6If9js3cSPVMp1tfKf2oFYEpYrnCLGV7GNuKHEcZH0I8l0xXatP6a8fOAAsgGL3SsCZWRRnnAcXbcetkro0ND+mtp6O7hF/SdF1TsmDneeO9GjQs/GETci3s65sSOi8dx527lXeSWOGjuqUARQlvO/0pWEBlhkDh5XH54Vpy7CpuGu2dAyG1uWr+swZvWzi9M5OZ08sf2gSsXakH4SVCXlNmbY4ITzn7m942iN2dF9yh+e1/rZ6dTPMkYMs9GaP+F52uli2yiAw0nvTd3b/x1ut+Z8cGBlFHc8sf4yP+EunKq9YLPuQQ/wJh0+KpzHXQ5ROPw7IasqrEEPSNXhwJETtuu41kM4GlJEzhGxw/5AOc1iLGfNCFwB8RBAqf/Bn5tV3AO7/juYahGCSA94xtpJYiw6rpEOnhw+G8QxrxbRoC3CRhbnW2XZEBsujn5lRZncdhRLRUJuR/BQr9cPy/oPqcGcJeusj/aRcjlQpc5Lepk9JV6iXqwFL/bJtO98dZZNUyyoF37xuvRQ19pgWZ6htuHGbQh41rhaWdGOls+cb3/1S45L9O/S99wvvKHLBBGYTOo8Sdi6lh4lbqiepuKgbIAGh28Q91BGRUG3s4mBNkBsORbDcGKDQEzTkcULE2c6HTM5NtzTCtF+SR9r1CjLzpC1S5YNUucjesIhINY+KPYyIOPV1z5xs8C+J/f2l2RqDvfBTyC4RPViPXonVISRz1ZbqQ+CBhx2RXKEiSZuECskKJd2AAewg1s2+IuaKO0NXvRJIBAbtGFXa1OrOduoGaaFXTgr1QcuE6EZKC+2/6kvPE6Y6I1qfyIuBvmxXAv3PXjxjvNSwQ1jiPb7ecx3k8YPbY4eWW2XCr4c10jjD0/SpzV+6nTaEh8Xatz65mZZkRZL+hGZf39xA6kAEVd7uG275sRPaQtcOqcEH8nGqfOiiHDq7e4Ur5+oN7b/w3AAc3+NSeZiVyfGNvV31fxJBr40cZMMlmLyqJ+6grjxpTIOmQc4tTt74bKNLy+2SeNGSZQzVs5cJziudaO4iTUy8Dgqz7xH5fDulKw8CTPCweysDi4cMM/KE3INsZEaNHekHoGKRHZk/eQggSUuaxJjOCqpPaxPEA1ubdP8O89BWB8tGtpTsqxA6+OgnGyJfHLcoRpPy7glKcNaVh8sVwdKigBXfceuPbZ1206rEuNg28FjlinL3AK5OGEdSfbAy+G2Vj7Mbpw01n73N58zOOfP/2K2LVxXZWVar3lOYg1kf6vVmlhSWGh/8O0v20gd/l6b8469v+gTh4Nk6wzKS2VV5Y32U9evFO3USRMgNFjow4n7nmIN30/1mo6sEyUZO5A6Uz6bY5MKhP1WNCjHigcHYhI2bY1PeXQMPAczQN2mrw2YRJ3xUqL7sXnJR/lODKLJQf05OvXnoU6i+831Nao+ZU623Nh6Yn+z2HvRC33iiAV9MwkvRqyceCeZ/uKkQGIjLRe3onKIgksKUPoJMdElETr1CeCPHSe0r606yR/b9+2944CL8w9iTCiOSuAhVRxD5NZr4wTugWp/nhYrV45+kwI8BIt2sMAFBHhb7YwCqgM/qJmF54JM+8OJOlNtX/j9ZK/j95PqbqNyHkHU47G5O1JPtb07YE+X2TEMMA75cCjFIAj3FG+KKJi3bI2Nqyi1MRKlV1aWO/NmXHLcLE4G3FZUD87V1jpfYtU1gUsHvLLXigMLR7pJOicNIpgg1iGY8drOfIsa31pc0DsbKAIGgh1Ci/WBiNtwX3APgXsRQiRgvZQvjjfuIjBAQKSNKPvYiROGr5r9Bw65uE57BHu1uFGYuBdJrwauKE5GU0nAmyMYtuzcZ2/P+1Ae1mfab8iNRYUUk1dKXHdEkgkOeKyNZfJef8/UUXJeeq+NHTvKlkpfcsWaTbI6DnQEU6m3O/JmRiG8O2pIUCYUbXelrt4YHKT65063dKwGQFTSs3BrIHraTOQnTxv5KEMOjl0+uFEkiI7PpKGleRKVNC+6PIVxSLv9Tg/c4WfJVswigs6FL4f3/BBoC/5Ux0lHYIvXhq4qJ2hn0H+EnIBpFcZB8LwFgo7it6WE5K9SxW3yJbefsyP4dVj0g6b9Knp1Dg4tvTURAqU3pu6CirXpssYVXOahxL/TGr9z/yH7VHo3+dKP40BbIOXaooJBzh/X0NJShZMJ9AeHlZValoxXMGDJlAUoOn/oE8JJgdN/6dJFp0tGmbELPlz5AU69IctxxFF1QCEXnUF3wBRRhPn6BVkh1Yp42rlrjx1RjKejcriKDukZEVnVEi/XiHOUoQGVL2OGsvzA5xmHbMroSAIfBMCcLw7MBR3UH3/kAXvmqSfttltvsgPSjUU3jraWDR1qo+XoFR3RDz5aaq/MeV9wsD91oN6+HXinncb1OOemHXiuicddsr6215ftPb8mMBUNZLA5Rd/7dfuVxsGvW4+n29t1GGBR7J6FMTg4wnkPDm/5IjAGa7LCWSVyNR7a68WJQQVgkJ7ligMLwVOYn+/8ceUqVEyOOC0QKOTBuzqGE8T/4zrT+QNrjQkIBbhAcIQuYHotS9smETPo/ZyXyIsYTXzOyOM8IrA6ETKEy4H4QC0B0XmxYCHB+UVU1BUJThOqGEtXrrPjMsqYLg/rGLRMGDfGEU0cTjD73ly1zT6VMcjajdt0Gr+omIjd0z8daVOauOkI1nriHbcL9kRF6TrSGEhjII2BNAY8Bjyhw2+WYSxFc8WpyBMXB82Zy+JO1Ern5syZs1Z1cb81iJNfJweQ2C9kiHtSIFGT07+Ufgo6KojkUSkIb/uU6/QMZbkLkYCVXqMImxrEWU5MLzG2dHdypIeXJZ0dykFXNU+6nXxgygBnAGvXEDS0N5yAL6PvZdskC9XVW3ZaWVG+DR9a7AxaMC8/evy07VfQYJwkIsqCrgm3MVzW1bhOEzdXA+vpOtMYSGMgjYE0Bno9BtxmLSKCSNk+wbWAYwLBkSNCBkKFe3zIBgcFjs+VyxedWKexQbH3/Muhb95z+ncifLL0LsYT6Mvop0uUxXsBEROUm4qSblBK5/5D4GSLQ0QgnXMSha0+cdpxh4B7oO7niXCzPrh06LgYrHMQJn47Tdwkxk03P/EjWNVEJo4fxK5iNxsieboZknTxaQykMdDTGGBux9vyehqOa62+q4+3gFsC3ui/ljXaEzgtGMUYQwSMOD+hbC2PI93PFx9HQEkcFNkOWvJd5atAGTqw+srPlAgs0gUiZxzMiNR6YxJx09I5vRHAX02YhHOH9ohTpohGLZMDJbPAO67vF7799a8mNtKtSmPg1wsDfjNIz+vU+x3c9V68QfiEU/Ov5ovw02vnuuXg3V0N6fo+TXNursb4Yny4MaKgZviukfIY2ufcxHQYfzYKV+sg666hdDWana4zjYE0BsAAC3l6ZqfHQhoD3YmBNHHTndhNUDYyWZa2Sxcv2PwFS53bezg23MS5147d++yyFLbg9kWroSUoMH07jYE0BtIYSGMgjYE0Bpox0GfctPvTR4hmdPT8xQVxamrksbaZm6lD3WDimEhZLSCBeh6mdI1pDKQx0L0YaI57173VdKh0Scd7ZUI04uKK9UrodBDtrYjrpfgKg+WD4obvdfY6zbnpLAY7+X62TP1yZUbXPC9EauLsDu3zdEpjII2BNAbSGEhjII2B1DGQJm5Sx1mXvuHDEEQV2szGibqb/pHGQBoDaQykMZDGQBoDSWAgTdwkgaTuzOL4M2lipjtRnC47jYE0BtIY6AEM9FZuey+VM3Zzj3RDVKJuhjhdfBoDaQykMZDGQBoDaQykMdAGBv4/7fRq6DKelpAAAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image_sp_ml.png](attachment:image_sp_ml.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Node Classification - Introduction\n",
    "In this Notebook we are going to examine the process of using Amazon Neptune ML feature to perform RDF Literal string  classification in an RDF graph.  \n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Note</b>: This notebook take approximately 1 hour to complete</div>\n",
    "\n",
    "[Neptune ML](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning.html) is a feature of Amazon Neptune that enables users to automate the creation, management, and usage of Graph Neural Network (GNN) machine learning models within Amazon Neptune.  Neptune ML is built using [Amazon SageMaker](https://aws.amazon.com/sagemaker/) and [Deep Graph Library](https://www.dgl.ai/) and provides a simple and easy to use mechanism to build/train/maintain these models and then use the predictive capabilities of these models within a Gremlin query to predict elements or property values in the graph.\n",
    "\n",
    "For this notebook we are going to show how to perform a common machine learning task known as **node classification**.  Node classification is a common semi-supervised machine learning task where a model built using existing nodes, which in RDF means existing string Literal values. Where the triple does not exist, we can predict the value of the Literal. Node classification is not unique to GNN based models (look at DeepWalk or node2vec) but the GNN based models in Neptune ML provide additional context to the predictions by combining the connectivity and features of the local neighborhood of a node to create a more predictive model.\n",
    "\n",
    "Node classification is commonly used to solve many common buisness problems such as:\n",
    "\n",
    "* [Identifying fradulent transactions](https://aws.amazon.com/blogs/machine-learning/detecting-fraud-in-heterogeneous-networks-using-amazon-sagemaker-and-deep-graph-library/)\n",
    "* Predicting group membership in a social or identity network\n",
    "* Predicting categories for product recommendation\n",
    "* Predicting user churn\n",
    "\n",
    "\n",
    "Neptune ML uses a four step process to automate the process of creating production ready GNN models:\n",
    "\n",
    "1. **Load Data** - Data is loaded into a Neptune cluster using any of the normal methods such as SPARQL queries or using the Neptune Bulk Loader.\n",
    "2. **Export Data** - A service call is made specifying the machine learning model type and model configuration parameters.  The data and model configuration parameters are then exported from a Neptune cluster to an S3 bucket.\n",
    "3. **Model Training** - A set of service calls are made to pre-process the exported data, train the machine learning model, and then generate an Amazon SageMaker endpoint that exposes the model.\n",
    "4. **Run Queries** - The final step is to use this inference endpoint within our SPARQL queries to infer data using the machine learning model via a SERVICE federated Query call.\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n"
   ]
  },
  {
   "attachments": {
    "mvlens_model.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook uses the [MovieLens 100k dataset](https://grouplens.org/datasets/movielens/100k/) provided by [GroupLens Research](https://grouplens.org/datasets/movielens/). This dataset consists of movies, users, and ratings of those movies by users. \n",
    "\n",
    "![mvlens_model.png](attachment:mvlens_model.png)\n",
    "\n",
    "For this notebook we'll walk through how Neptune ML can predict the group membership of a product in a product knowledge graph.  To demonstrate this we'll predict the genre of new movies added to our product knowledge graph.  We'll walk through each step of loading and exporting the data, configuring and training the model, and finally we'll show how to use that model to infer the genre of movies using SPARQL queries. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checking that we are ready to run Neptune ML \n",
    "Run the code below to check that this cluster is configured to run Neptune ML."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import neptune_ml_sparql_utils as neptune_ml\n",
    "neptune_ml.check_ml_enabled()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the check above did not say that this cluster is ready to run Neptune ML jobs then please check that the cluster meets all the pre-requisites defined [here](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning.html).\n",
    "\n",
    "## Loading the data \n",
    "\n",
    "The first step in building a Neptune ML model is to load data into the Neptune cluster. Loading data for Neptune ML follows the standard process of ingesting data into Amazon Neptune, for this example we'll be using the Bulk Loader. \n",
    "\n",
    "We have written a script that automates the process of downloading the data from the MovieLens websites and formatting it to load into Neptune. All you need to provide is an S3 bucket URI that is located in the same region as the cluster.\n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Note</b>: This is the only step that requires any specific input from the user, all remaining cells will automatically propogate the required values.</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s3_bucket_uri=\"s3://<INSERT S3 BUCKET OR PATH>\"\n",
    "# remove trailing slashes\n",
    "s3_bucket_uri = s3_bucket_uri[:-1] if s3_bucket_uri.endswith('/') else s3_bucket_uri"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that you have provided an S3 bucket, run the cell below which will download and format the MovieLens data into a format compatible with Neptune's bulk loader."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "response = neptune_ml.prepare_movielens_data_rdf(s3_bucket_uri, clear_staging_area=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This process only takes a few minutes and once it has completed load the data using the `%load` command in the cell below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load -s {response} -f nquads -p OVERSUBSCRIBE --run"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Export the data and model configuration\n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Note</b>: Before exporting data ensure that Neptune Export has been configured as described here: <a href=\"https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-manual-setup.html#ml-manual-setup-export-svc\">Neptune Export Service</a></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With our product knowledge graph loaded we are ready to export the data and configuration which will be used to train the ML model.  \n",
    "\n",
    "The export process is triggered by calling to the [Neptune Export service endpoint](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-data-export.html).  This call contains a configuration object which specifies the type of machine learning model to build, in this example node classification, as well as any feature configurations required.\n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Note</b>: The configuration used in this notebook specifies only a minimal set of configuration options meaning that our model's predictions are not as accurate as they could be.  The parameters included in this configuration are one of a couple of sets of options available to the end user to tune the model and optimize the accuracy of the resulting predictions.</div>\n",
    "\n",
    "The configuration options provided to the export service are broken into two main sections, selecting the target and configuring features. \n",
    "\n",
    "## Selecting the target\n",
    "\n",
    "In the first section, selecting the target, we specify what type of machine learning task will be run, and in the case of node classification, what the target node label and property we want to predict.  To run a node classification task we are only required to specify the node label and target property to infer. \n",
    "\n",
    "In this example below we specify the `genre` property on the `movie` node as our target for prediction by including these values in the `targets` sub-parameter of the `additionalParams` object as shown below. \n",
    "\n",
    "```\n",
    "\"additionalParams\": {\n",
    "        \"neptune_ml\": {\n",
    "          \"targets\": [\n",
    "            {\n",
    "              \"node\": \"movie\",\n",
    "              \"property\": \"genre\"\n",
    "            }\n",
    "          ],\n",
    "          ....\n",
    "```\n",
    "\n",
    "## Configuring features\n",
    "The second section of the configuration, configuring features, is where we specify details about the types of data stored in our graph and how the machine learning model should interpret that data.  In machine learning, each property is known as a feature and these features are used by the model to make predictions.  \n",
    "\n",
    "When data is exported from Neptune all properties of all nodes are included.  Each property is treated as a separate feature for the ML model.  Neptune ML does its best to infer the correct type of feature for a property, in many cases, the accuracy of the model can be improved by specifying information about the property used for a feature.  By default Neptune ML puts features into one of two categories:\n",
    "\n",
    "* If the feature represents a numerical property (float, double, int) then it is treated as a `numerical` feature type. In this feature type data is represented as a continuous set of numbers.  In our example, the `age` of a `user` would best be represented as a numerical feature as the age of a user is best represented as a continuous set of values.\n",
    "* All other property types are represented as `category` features.  In this feature type, each unique value of data is represented as a unique value in the set of classifications used by the model.  In our MovieLens example the `occupation` of a `user` would represent a good example of a `category` feature as we want to group users that all have the same job.\n",
    "\n",
    "If all of the properties fit into these two feature types then no configuration changes are needed at the time of export.  However, in many scenarios these defaults are not always the best choice.  In these cases, additional configuration options should be specified to better define how the property should be represented as a feature. \n",
    "\n",
    "One common feature that needs additional configuration is numerical data, and specifically properties of numerical data that represent chunks or groups of items instead of a continuous stream.\n",
    "\n",
    "Let's say that instead of wanting `age` to be represented as a set of continuous values we want to represent it as a set of discrete buckets of values (e.g. 18-25, 26-24, 35-44, etc.).  In this scenario we want to specify some additional attributes of that feature to bucket this attribute into certain known sets.  We achieve this by specifying this feature as a `numerical_bucket`.  This feature type takes a range of expected values, as well as a number of buckets, and groups data into buckets during the training process.\n",
    "\n",
    "Another common feature that needs additional attributes are text features such as names, titles, or descriptions.  While Neptune ML will treat these as categorical features by default the reality of these features is that they will likely be unique for each node.  For example, since  the `title` property of a `movie` node does not fit into a category grouping our model would be better served by representing this type of feature as a `text_word2vec` feature.  A `text_word2vec` feature uses techniques from natural language processing to create a vector of data that represents a string of text.  \n",
    "\n",
    "In our export example below we have specified that the `title` property of our `movie` should be exported and trained as a `text_word2vec` feature and that our `age` field should range from 0-100 and that data should be bucketed into 10 distinct groups.  \n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Important</b>: The example below is an example of a minimal amount of the features of the model configuration parameters and will not create the most accurate model possible.  Additional options are available for tuning this configuration to produce an optimal model are described here: <a href=\"https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-data-export.html#machine-learning-params\">Neptune Export Process Parameters</a></div>\n",
    "\n",
    "Running the cell below we set the export configuration and run the export process.  Neptune export is capable of automatically creating a clone of the cluster by setting `cloneCluster=True` which takes about 20 minutes to complete and will incur additional costs while the cloned cluster is running.  Exporting from the existing cluster takes about 5 minutes but requires that the `neptune_query_timeout` parameter in the [parameter group](https://docs.aws.amazon.com/neptune/latest/userguide/parameters.html) is set to a large enough value (>72000) to prevent timeout errors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "export_params={\n",
    "  \"command\": \"export-rdf\",\n",
    "  \"params\": {\n",
    "    \"endpoint\": neptune_ml.get_host(),\n",
    "    \"useIamAuth\": neptune_ml.get_iam(),\n",
    "    \"cloneCluster\": False,\n",
    "    \"profile\": \"neptune_ml\"\n",
    "  },\n",
    "    \"outputS3Path\": f'{s3_bucket_uri}/neptune-export',\n",
    "  \"additionalParams\": {\n",
    "    \"neptune_ml\": {\n",
    "      \"version\": \"v2.0\",\n",
    "      \"targets\": [\n",
    "            {\n",
    "              \"node\" : \"http://aws.amazon.com/neptune/ontology/Movie\",\n",
    "              \"predicate\" : \"http://aws.amazon.com/neptune/ontology/hasGenre\",\n",
    "              \"type\": \"classification\",\n",
    "              \"split_rate\": [0.7,0.1,0.2]\n",
    "            }\n",
    "          ]\n",
    "    }\n",
    "  },\n",
    "\"jobSize\": \"medium\"}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%neptune_ml export start --export-url {neptune_ml.get_export_service_host()} --export-iam --wait --store-to export_results\n",
    "${export_params}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ML data processing, model training, and endpoint creation\n",
    "\n",
    "Once the export job is completed we are now ready to train our machine learning model and create the inference endpoint. Training our Neptune ML model requires three steps.  \n",
    "  \n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Note</b>: The cells below only configure a minimal set of parameters required to run a model training.</div>\n",
    "\n",
    "## Data processing \n",
    "The first step (data processing) processes the exported graph dataset using standard feature preprocessing techniques to prepare it for use by DGL. This step performs functions such as feature normalization for numeric data and encoding text features using word2vec. At the conclusion of this step the dataset is formatted for model training. \n",
    "\n",
    "This step is implemented using a SageMaker Processing Job and data artifacts are stored in a pre-specified S3 location once the job is complete.\n",
    "\n",
    "Additional options and configuration parameters for the data processing job can be found using the links below:\n",
    "\n",
    "* [Data Processing](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-on-graphs-processing.html)\n",
    "* [dataprocessing command](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-api-dataprocessing.html)\n",
    "\n",
    "Run the cells below to create the data processing configuration and to begin the processing job."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The training_job_name can be set to a unique value below, otherwise one will be auto generated\n",
    "training_job_name=neptune_ml.get_training_job_name('node-classification')\n",
    "\n",
    "processing_params = f\"\"\"\n",
    "--config-file-name training-data-configuration.json\n",
    "--job-id {training_job_name} \n",
    "--s3-input-uri {export_results['outputS3Uri']} \n",
    "--s3-processed-uri {str(s3_bucket_uri)}/preloading \"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%neptune_ml dataprocessing start --wait --store-to processing_results {processing_params}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model training\n",
    "The second step (model training) trains the ML model that will be used for predictions. The model training is done in two stages. The first stage uses a SageMaker Processing job to generate a model training strategy. A model training strategy is a configuration set that specifies what type of model and model hyperparameter ranges will be used for the model training. Once the first stage is complete, the SageMaker Processing job launches a SageMaker Hyperparameter tuning job. The SageMaker Hyperparameter tuning job runs a pre-specified number of model training job trials on the processed data, and stores the model artifacts generated by the training in the output S3 location. Once all the training jobs are complete, the Hyperparameter tuning job also notes the training job that produced the best performing model.\n",
    "\n",
    "Additional options and configuration parameters for the data processing job can be found using the links below:\n",
    "\n",
    "* [Model Training](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-on-graphs-model-training.html)\n",
    "* [modeltraining command](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-api-modeltraining.html)\n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Information</b>: The model training process takes ~20 minutes</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "training_params=f\"\"\"\n",
    "--job-id {training_job_name} \n",
    "--data-processing-id {training_job_name}\n",
    "--instance-type ml.p3.2xlarge\n",
    "--s3-output-uri {str(s3_bucket_uri)}/training \"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%neptune_ml training start --wait --store-to training_results {training_params}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Endpoint creation\n",
    "\n",
    "The final step is to create the inference endpoint which is an Amazon SageMaker endpoint instance that is launched with the model artifacts produced by the best training job. This endpoint will be used by our graph queries to  return the model predictions for the inputs in the request. The endpoint once created stays active until it is manually deleted. Each model is tied to a single endpoint.\n",
    "\n",
    "Additional options and configuration parameters for the data processing job can be found using the links below:\n",
    "\n",
    "* [Inference Endpoint](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-on-graphs-inference-endpoint.html)\n",
    "* [Endpoint command](https://docs.aws.amazon.com/neptune/latest/userguide/machine-learning-api-endpoints.html)\n",
    "\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Information</b>: The endpoint creation process takes ~5-10 minutes</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "endpoint_params=f\"\"\"\n",
    "--id {training_job_name}-2 \n",
    "--model-training-job-id {training_job_name} \"\"\"\n",
    "\n",
    "print(endpoint_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%neptune_ml endpoint create --wait --store-to endpoint_results {endpoint_params}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once this has completed we get the endpoint name for our newly created inference endpoint.  The cell below will set the endpoint name which will be used in the SPARQL queries below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "endpoint=endpoint_results['endpoint']['name']\n",
    "neptune_role=neptune_ml.get_neptune_ml_role()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predicting values using SPARQL queries\n",
    "\n",
    "Now that we have our inference endpoint setup let's query our product knowledge graph to show how to predict categorical property values by predicting the the genre for movies, starting with `Empire Strikes Back, The (1980)`.  \n",
    "\n",
    "## Predicting movie genres\n",
    "\n",
    "<br>\n",
    "<div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Object Classification</b> - This model is trained to allow for inferring the `ontology:genre` string literal value of an instance of the `ontology:Movie` rdf:Class.      \n",
    "    \n",
    "   Example `resource:movie_225` `ontology:genre` `\"[to be predicted]\"` . \n",
    "   \n",
    "In order to make our prediction, we need to remove some data.  \n",
    "Run the following query to remove the Genre's for three Movie's: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sparql\n",
    "\n",
    "PREFIX  ml: <http://aws.amazon.com/neptune/vocab/v01/services/ml#>\n",
    "PREFIX  ontology: <http://aws.amazon.com/neptune/ontology/>\n",
    "PREFIX  resource: <http://aws.amazon.com/neptune/resource#>\n",
    "\n",
    "DELETE {\n",
    "    ?movie  ontology:hasGenre ?genre\n",
    "}\n",
    "WHERE { \n",
    "    ?movie  ontology:hasGenre ?genre ;\n",
    "            ontology:title  ?title .\n",
    "            \n",
    "    FILTER (?title IN (\n",
    "        \"Empire Strikes Back, The (1980)\",\n",
    "        \"Mars Attacks! (1996)\",\n",
    "        \"Independence Day (ID4) (1996)\"\n",
    "    ))\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have run the above query, three movies do not have any Genre's classified against them.\n",
    "\n",
    "Run the following query to verify that the Genre's in question were removed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sparql\n",
    "\n",
    "PREFIX  ml: <http://aws.amazon.com/neptune/vocab/v01/services/ml#>\n",
    "PREFIX  ontology: <http://aws.amazon.com/neptune/ontology/>\n",
    "PREFIX  resource: <http://aws.amazon.com/neptune/resource#>\n",
    "\n",
    "SELECT ?title ?genre WHERE { \n",
    "    \n",
    "    ?movie a ontology:Movie ;\n",
    "            ontology:title  ?title.\n",
    "            \n",
    "    OPTIONAL {\n",
    "          ?movie  ontology:hasGenre ?genre .\n",
    "    }\n",
    "    \n",
    "    FILTER (?title IN (\n",
    "        \"Empire Strikes Back, The (1980)\",\n",
    "        \"Mars Attacks! (1996)\",\n",
    "        \"Independence Day (ID4) (1996)\"\n",
    "    ))\n",
    "\n",
    "} "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected there is no Genre in the result set, so let's modify this query to predict the genre for `Empire Strikes Back, The (1980)`. To accomplish this we need to add more statements to our query:\n",
    "\n",
    "1. Include a `SERVICE` enclosure to federate the Query to our ML endpoint. To do this you must use a special pre-defined URI which we have designated to use for ML calls:\n",
    "`SERVICE <http://aws.amazon.com/neptune/vocab/v01/services/ml#inference> {...} `\n",
    "\n",
    "\n",
    "2. Add the configuration statements needed to connect to the ML endpoint you have created and specify the type of prediction.\n",
    "\n",
    "* ` ... ml:config ml:endpoint \"{endpoint}\" ...` - The ML endpoint that has been created. <div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Note</b>: The endpoint values are automatically passed into the queries below</div>\n",
    "\n",
    "* ` ...ml:config ml:modelType 'OBJECT_CLASSIFICATION' ` - The inference type being used in this prediction. As we are predicting the OBJECT of the `'SUBJECT - PREDICATE - OBJECT'` standard RDF model.\n",
    "\n",
    "\n",
    "3. Build the model of the RDF statement you are predicting: Add the following statements to the body of the SERVICE enclosure, so that you can build the SUBJECT, PREDICATE and OBJECT of your prediction.\n",
    "\n",
    "* ` ...ml:config ml:input ?input ` - The input of the prediction is the `'rdf:Subject'` of the predicted full statement using the  `'SUBJECT - PREDICATE - OBJECT'` standard RDF model.\n",
    "\n",
    "* ` ...ml:config ml:predicate ontology:hasGenre ` - The predicate of the prediction is the `'rdf:Predicate'` of the predicted full statement using the `'SUBJECT - PREDICATE - OBJECT'` standard RDF model.\n",
    "\n",
    "* ` ...ml:config ml:output ?output ` - The output of the prediction is the `'rdf:Object'` of the predicted full statement using the `'SUBJECT - PREDICATE - OBJECT'` standard RDF model.\n",
    "\n",
    "\n",
    "4. <div style=\"background-color:#eeeeee; padding:10px; text-align:left; border-radius:10px; margin-top:10px; margin-bottom:10px; \"><b>Add optional stataments</b>:</div>\n",
    "* ` ...ml:config ml:score ?score ` - The calculated confidence of the prediction from DGL (Deep Graph Library).\n",
    "\n",
    "* ` ...ml:config ml:limit \"3\" ` - The number of predictions to return from DGL (Deep Graph Library)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sparql\n",
    "\n",
    "PREFIX  ml: <http://aws.amazon.com/neptune/vocab/v01/services/ml#>\n",
    "PREFIX  ontology: <http://aws.amazon.com/neptune/ontology/>\n",
    "PREFIX  resource: <http://aws.amazon.com/neptune/resource#>\n",
    "\n",
    "SELECT ?title ?genre ?score WHERE { \n",
    "    \n",
    "    BIND (resource:movie_172 as ?movie)\n",
    "    \n",
    "    ?movie a ontology:Movie ;\n",
    "            ontology:title  ?title.\n",
    "    \n",
    "    SERVICE ml:inference { \n",
    "               ml:config ml:endpoint \"${endpoint}\" ;\n",
    "                         # the optional 'score' predicate   \n",
    "                         ml:outputScore ?score ;\n",
    "                         # the optional 'limit' predicate   \n",
    "                         ml:limit \"1\" ;\n",
    "                         ml:modelType 'OBJECT_CLASSIFICATION' ; \n",
    "                         ml:input ?movie ; \n",
    "                         ml:predicate ontology:hasGenre ;  \n",
    "                         ml:output ?genre ;\n",
    "        }     \n",
    "} "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the results, this prediction seems right for the top result, `Empire Strikes Back, The (1980)` seems to fit well into the `Drama` genre, but the other predictions do not seem correct, so we can set a threshold for the score:  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%sparql\n",
    "\n",
    "PREFIX  ml: <http://aws.amazon.com/neptune/vocab/v01/services/ml#>\n",
    "PREFIX  ontology: <http://aws.amazon.com/neptune/ontology/>\n",
    "PREFIX  resource: <http://aws.amazon.com/neptune/resource#>\n",
    "\n",
    "SELECT ?title ?genre ?score WHERE { \n",
    "    \n",
    "    BIND (resource:movie_172 as ?movie)\n",
    "    \n",
    "    ?movie a ontology:Movie ;\n",
    "            ontology:title  ?title.\n",
    "            \n",
    "    OPTIONAL {\n",
    "          ?movie  ontology:hasGenre ?genre .\n",
    "    }\n",
    "    \n",
    "    SERVICE ml:inference { \n",
    "               ml:config ml:endpoint \"${endpoint}\" ;\n",
    "                         ml:outputScore ?score ;\n",
    "                         ml:threshold \"0.5D\" ;\n",
    "                         ml:modelType 'OBJECT_CLASSIFICATION' ;\n",
    "                         ml:limit \"3\" ;\n",
    "                         ml:input ?movie ; \n",
    "                         ml:predicate ontology:hasGenre ;  \n",
    "                         ml:output ?genre ;\n",
    "        }     \n",
    "} "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The results that do not meet the threshold are removed.\n",
    "\n",
    "As we see, depending on the threshold value specified the results where the confidence does not meet that threshold are removed.\n",
    "\n",
    "So far we have only been working on a single movie, but let's say you wanted to predict the genre for all movies without a `genre`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sparql\n",
    "\n",
    "PREFIX  ml: <http://aws.amazon.com/neptune/vocab/v01/services/ml#>\n",
    "PREFIX  ontology: <http://aws.amazon.com/neptune/ontology/>\n",
    "PREFIX  resource: <http://aws.amazon.com/neptune/resource#>\n",
    "\n",
    "SELECT ?title ?score ?predictedGenre WHERE { \n",
    "    \n",
    "    ?movie a ontology:Movie ;\n",
    "            ontology:title  ?title.\n",
    "            \n",
    "    MINUS {\n",
    "          ?movie  ontology:hasGenre ?existingGenre .\n",
    "    }\n",
    "    \n",
    "    SERVICE ml:inference { \n",
    "               ml:config ml:endpoint \"${endpoint}\" ;\n",
    "                         ml:outputScore ?score ; \n",
    "                         ml:threshold \"0.5D\" ;\n",
    "                         ml:modelType 'OBJECT_CLASSIFICATION' ;\n",
    "                         ml:limit \"3\" ;\n",
    "                         ml:input ?movie ; \n",
    "                         ml:predicate ontology:hasGenre ;  \n",
    "                         ml:output ?predictedGenre .\n",
    "    }\n",
    "    \n",
    "} "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have applied the filters shown above to this query to find the top 3 genres for all our \"new\" movies, as long as the prediction has >70% confidence."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we've seen how to use Neptune ML to predict these categories, the next question is, how good are the predictions.  \n",
    "\n",
    "## Comparing the accuracy of predicted and actual genres\n",
    "Run the query below to see the predicted versus actual genres for one of our movies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sparql\n",
    "\n",
    "PREFIX  ml: <http://aws.amazon.com/neptune/vocab/v01/services/ml#>\n",
    "PREFIX  ontology: <http://aws.amazon.com/neptune/ontology/>\n",
    "PREFIX  resource: <http://aws.amazon.com/neptune/resource#>\n",
    "\n",
    "SELECT ?title ?existingGenre ?predictedGenre ?score WHERE { \n",
    "    \n",
    "     BIND('Boxing Helena (1993)' as ?title)\n",
    "    \n",
    "    ?movie a ontology:Movie ;\n",
    "            ontology:title  ?title ;\n",
    "            ontology:hasOriginalGenre ?existingGenre .\n",
    "    \n",
    "    SERVICE ml:inference { \n",
    "               ml:config ml:endpoint \"${endpoint}\" ;\n",
    "                         ml:outputScore ?score ; \n",
    "                         ml:limit 3 ;\n",
    "                         ml:modelType 'OBJECT_CLASSIFICATION' ; \n",
    "                         ml:input ?movie ; \n",
    "                         ml:predicate ontology:hasGenre ;  \n",
    "                         ml:output ?predictedGenre .\n",
    "    }\n",
    "    \n",
    "    FILTER (?predictedGenre = ?existingGenre)\n",
    "    \n",
    "} limit 10\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing the `existingGenre` versus the `predictedGenre` results we see that our model did a good job of predicting the genres for this Movie."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning up \n",
    "Now that you have completed this walkthrough you have created a Sagemaker endpoint which is currently running and will incur the standard charges.  If you are done trying out Neptune ML and would like to avoid these recurring costs, run the cell below to delete the inference endpoint.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "neptune_ml.delete_endpoint(training_job_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(training_job_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In addition to the inference endpoint the CloudFormation script that you used has setup several additional resources.  If you are finished then we suggest you delete the CloudFormation stack to avoid any recurring charges. For instructions, see Deleting a Stack on the [Deleting a Stack on the Amazon Web Services CloudFormation Console](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/cfn-console-delete-stack.html). Be sure to delete the root stack (the stack you created earlier). Deleting the root stack deletes any nested stacks."
   ]
  }
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